runCyoptics.ipynb

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    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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      "name": "python"
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  "cells": [
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6dM8REJYqWki",
        "outputId": "1d599854-a631-4a4b-ee31-22ae05148b4b"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'cyoptics-clustering'...\n",
            "remote: Enumerating objects: 58, done.\u001b[K\n",
            "remote: Counting objects: 100% (3/3), done.\u001b[K\n",
            "remote: Compressing objects: 100% (3/3), done.\u001b[K\n",
            "remote: Total 58 (delta 0), reused 1 (delta 0), pack-reused 55\u001b[K\n",
            "Receiving objects: 100% (58/58), 33.32 KiB | 11.11 MiB/s, done.\n",
            "Resolving deltas: 100% (23/23), done.\n"
          ]
        }
      ],
      "source": [
        "!git clone https://github.com/dvida/cyoptics-clustering.git"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%cd cyoptics-clustering/"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KE_1S3pdeMpJ",
        "outputId": "203116cd-4795-4428-cf31-44372cb93778"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/cyoptics-clustering\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from __future__ import print_function, division, absolute_import\n",
        "\n",
        "import numpy as np\n",
        "\n",
        "# Cython init\n",
        "import pyximport\n",
        "pyximport.install(setup_args={'include_dirs':[np.get_include()]})\n",
        "from cyOPTICS import runCyOPTICS"
      ],
      "metadata": {
        "id": "vWrg4jN9qpSQ"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def runOPTICS(input_list, eps, min_pts):\n",
        "    \"\"\" A wrapper funtion for the OPTICS clustering Cython implementation.\n",
        "    Arguments:\n",
        "        input_list: [ndarray] 2D numpy array containing the input data (1 datum per row)\n",
        "        eps: [float] epsilon parameter - maximum distance between points\n",
        "        min_pts: [int] minimum points in the cluster\n",
        "\n",
        "    Return:\n",
        "        point_list: [ndarray] 2D numpy array containing information about every processed point, the columns\n",
        "            of the array are:\n",
        "            - processed: 0 for not processed, 1 for processed - upon returning, processed values of all\n",
        "                entries should be 1\n",
        "            - reachability distance: -1 for first points in the cluster, positive for all others\n",
        "            - core distance: -1 for noise, positive otherwise (the notion of noise can change with regard to\n",
        "                the different input values eps and min_pts)\n",
        "            - input data points (the input data colums are appended to the right)\n",
        "    \"\"\"\n",
        "\n",
        "    return runCyOPTICS(input_list, eps, min_pts)\n"
      ],
      "metadata": {
        "id": "PZhiwaL-rKDX"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def sampleGaussian(x, y, std_x, std_y, n_samples):\n",
        "    \"\"\" Draw samples from a 2D Gaussian distribution with the given input parameters. \"\"\"\n",
        "\n",
        "    mean = [x, y]\n",
        "    cov = [[std_x, 0], [0, std_y]]  # diagonal covariance\n",
        "    return np.random.multivariate_normal(mean, cov, n_samples)"
      ],
      "metadata": {
        "id": "gy5CQw2GrPBi"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def plotPoints(points, clusters=[], title=''):\n",
        "\n",
        "    # Plot all points\n",
        "    plt.scatter(points[:,0], points[:,1], c='k', linewidth=0.2, edgecolor='w', facecolor=None)\n",
        "\n",
        "    # Plot clusters, if any\n",
        "    if clusters:\n",
        "\n",
        "        # Generate a list of colors for each cluster and randomize their order (so close clusters would have\n",
        "        # significcantly different color)\n",
        "        colors = cm.inferno(np.linspace(0.3, 1, len(clusters)))\n",
        "        color_order = random.sample(range(len(colors)), len(colors))\n",
        "\n",
        "        # Plot the clusters in 2D\n",
        "        for color, cluster in zip(colors[color_order], clusters):\n",
        "            plt.scatter(ordered_list[cluster][:,3], ordered_list[cluster][:,4], c=color, linewidth=0.2,\n",
        "                edgecolor='w')\n",
        "\n",
        "    # Set the title\n",
        "    plt.title(title)\n",
        "\n",
        "    # Turn on the grid, set color to grey\n",
        "    plt.gca().grid(color='0.5')\n",
        "\n",
        "    # Set background color to black\n",
        "    plt.gca().set_facecolor('black')\n",
        "\n",
        "    # Set the ratio to the window size 1:1\n",
        "    plt.gca().set_aspect('equal')\n",
        "    plt.tight_layout()\n",
        "\n",
        "    plt.show()"
      ],
      "metadata": {
        "id": "1BTX1IVwrRnw"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import matplotlib.cm as cm\n",
        "import time\n",
        "import random\n",
        "\n",
        "from GradientClustering import gradientClustering, plotClusteringReachability, filterLargeClusters, \\\n",
        "    mergeSimilarClusters"
      ],
      "metadata": {
        "id": "yy6qRJBBrWYr"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib\n",
        "print(matplotlib.__version__)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "h636brHwz9XV",
        "outputId": "b8cd0ce3-36e4-49e9-99b6-0481b6f0c302"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "3.7.1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import matplotlib.cm as cm\n",
        "import time\n",
        "import random\n",
        "\n",
        "from GradientClustering import gradientClustering, plotClusteringReachability, filterLargeClusters, \\\n",
        "    mergeSimilarClusters\n",
        "\n",
        "\n",
        "    ### Set OPTICS parameters\n",
        "    # See this paper for more information:\n",
        "    # http://fogo.dbs.ifi.lmu.de/Publikationen/Papers/OPTICS.pdf\n",
        "\n",
        "min_points = 40\n",
        "epsilon = 5.0\n",
        "\n",
        "    ###\n",
        "\n",
        "    ### Gradient clustering parameters\n",
        "    # See this paper for more details about there parameters (section 3.2)\n",
        "    # http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.215.3924&rep=rep1&type=pdf\n",
        "\n",
        "t = 150 # deg\n",
        "\n",
        "    # Width between the data in the reachability diagram\n",
        "w = 0.025\n",
        "\n",
        "    ###\n",
        "\n",
        "    ### Cluster postprocessing parameters\n",
        "\n",
        "    # Value which determines the size of the largest cluster, i.e. if the value is 0.5, all clusters larger\n",
        "    # than 50% of the number of the total input points will be rejected (max. value of 1.0)\n",
        "max_points_ratio = 0.5\n",
        "\n",
        "    # Value which determines how similar clusters are to be merged, i.e. if 0.7 then 2 clusters must share at\n",
        "    # least 70% common points to be merged (max. value of 1.0)\n",
        "cluster_similarity_threshold = 0.7\n",
        "\n",
        "    ###\n",
        "\n",
        "\n",
        "    ### Generate input data as Gaussian point sources\n",
        "\n",
        "np.random.seed(1)\n",
        "\n",
        "    # Range of points per cluster\n",
        "points_per_cluster_range = [50, 100]\n",
        "\n",
        "input_data = np.empty((0, 2))\n",
        "\n",
        "input_data = np.r_[input_data, sampleGaussian(-5, 6, 2.3, 2.3,\n",
        "    np.random.randint(*points_per_cluster_range))]\n",
        "\n",
        "input_data = np.r_[input_data, sampleGaussian(-5, 6, 0.05, 0.05,\n",
        "    np.random.randint(*points_per_cluster_range))]\n",
        "\n",
        "input_data = np.r_[input_data, sampleGaussian(-5, 2, 0.4, 0.4,\n",
        "    np.random.randint(*points_per_cluster_range))]\n",
        "\n",
        "input_data = np.r_[input_data, sampleGaussian(8, 5, 0.3, 0.3,\n",
        "    np.random.randint(*points_per_cluster_range))]\n",
        "\n",
        "input_data = np.r_[input_data, sampleGaussian(4, -1, 0.1, 0.1,\n",
        "    np.random.randint(*points_per_cluster_range))]\n",
        "\n",
        "input_data = np.r_[input_data, sampleGaussian(1, -2, 0.2, 0.2,\n",
        "    np.random.randint(*points_per_cluster_range))]\n",
        "\n",
        "input_data = np.r_[input_data, sampleGaussian(3, -2, 2.0, 2.0,\n",
        "    np.random.randint(*points_per_cluster_range))]\n",
        "\n",
        "    ###\n",
        "\n",
        "print('Input data size', len(input_data))\n",
        "\n",
        "    # Plot input data\n",
        "plotPoints(input_data, title='Input data')\n",
        "\n",
        "\n",
        "t1 = time.process_time()\n",
        "\n",
        "    # Run OPTICS ordering\n",
        "ordered_list = runOPTICS(input_data, epsilon, min_points)\n",
        "\n",
        "print('Total time for processing', time.process_time() - t1, 's')\n",
        "\n",
        "print('Ordered list')\n",
        "print('Point index [Processed, reachability dist, code dist, input data ... ]')\n",
        "for j, entry in enumerate(ordered_list):\n",
        "    print(j, entry)\n",
        "\n",
        "print(ordered_list[:,1])\n",
        "\n",
        "    # Plot the reachability diagram\n",
        "plotClusteringReachability(ordered_list[:,1])\n",
        "\n",
        "\n",
        "    # Do the gradient clustering\n",
        "clusters = gradientClustering(ordered_list[:,1], min_points, t, w)\n",
        "\n",
        "\n",
        "    # Remove very large clusters\n",
        "filtered_clusters = filterLargeClusters(clusters, len(ordered_list), max_points_ratio)\n",
        "\n",
        "\n",
        "print('TOTAL BEFORE MERGING', len(filtered_clusters))\n",
        "\n",
        "    # Plot the results, reachability diagram\n",
        "plotClusteringReachability(ordered_list[:,1], filtered_clusters)\n",
        "\n",
        "\n",
        "    # Merge similar clusters by looking at the ratio of their intersection and their total number\n",
        "filtered_clusters = mergeSimilarClusters(filtered_clusters, cluster_similarity_threshold)\n",
        "\n",
        "print('TOTAL POINTS', len(ordered_list[:,1]))\n",
        "print('CLUSTERS')\n",
        "for cluster in filtered_clusters:\n",
        "\n",
        "    members = ordered_list[cluster][:,3:]\n",
        "\n",
        "    x_mean = np.mean(members[:,0])\n",
        "    x_std = np.std(members[:,0])\n",
        "\n",
        "    y_mean = np.mean(members[:,1])\n",
        "    y_std = np.std(members[:,1])\n",
        "\n",
        "\n",
        "    print('------------------------------------------')\n",
        "\n",
        "    print('Size, X mean +/- stddev, Y mean +/- stddev')\n",
        "    print(len(cluster), x_mean, x_std, y_mean, y_std)\n",
        "    print('Members:')\n",
        "    print(members)\n",
        "\n",
        "    # Plot the results, reachability diagram\n",
        "plotClusteringReachability(ordered_list[:,1], filtered_clusters)\n",
        "\n",
        "    # Plot the final results\n",
        "plotPoints(input_data, filtered_clusters, title='Final results')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "TD0Pg4ecrauz",
        "outputId": "e3a1f00d-2da9-4055-cf4a-98b9e8466745"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Input data size 512\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Total time for processing 0.04587472000000048 s\n",
            "Ordered list\n",
            "Point index [Processed, reachability dist, code dist, input data ... ]\n",
            "0 [ 1.         -1.          1.91459811 -5.83373136  3.87243819]\n",
            "1 [ 1.          1.91459811  1.28697979 -4.95621513  2.96452895]\n",
            "2 [ 1.          1.28697979  0.94288933 -4.73149924  2.04880908]\n",
            "3 [ 1.          0.94288933  1.11701858 -5.07820545  1.68334391]\n",
            "4 [ 1.          0.94288933  1.14390886 -4.67208563  2.66660429]\n",
            "5 [ 1.          0.94288933  1.05100858 -4.46724739  2.39469757]\n",
            "6 [ 1.          0.94288933  1.11791205 -5.31156823  2.07904429]\n",
            "7 [ 1.          0.94288933  1.31256175 -5.54797633  2.15141875]\n",
            "8 [ 1.          0.94288933  1.02146339 -4.36812478  1.98328457]\n",
            "9 [ 1.          0.94288933  1.23266649 -4.98290532  2.62926436]\n",
            "10 [ 1.          0.94288933  1.35278869 -3.8904725   1.83137489]\n",
            "11 [ 1.          0.94288933  0.98919052 -4.30502551  2.23721901]\n",
            "12 [ 1.          0.94288933  1.16751945 -4.99261183  1.46178519]\n",
            "13 [ 1.          0.94288933  0.98168212 -4.69341824  1.96469132]\n",
            "14 [ 1.          0.94288933  0.99019229 -4.3717278   1.93211439]\n",
            "15 [ 1.          0.94288933  1.36426175 -5.20808784  1.40203632]\n",
            "16 [ 1.          0.94288933  1.30342293 -4.67996121  1.23328628]\n",
            "17 [ 1.          0.94288933  0.95564729 -4.81939572  1.85758826]\n",
            "18 [ 1.          0.94288933  0.99042696 -4.73835383  2.38522463]\n",
            "19 [ 1.          0.94288933  0.93934655 -4.59607677  2.14075656]\n",
            "20 [ 1.          0.93934655  1.15992963 -4.41477456  1.53532933]\n",
            "21 [ 1.          0.93934655  1.54570472 -3.79853499  2.63704124]\n",
            "22 [ 1.          0.93934655  1.18941283 -5.15426669  2.34654223]\n",
            "23 [ 1.          0.93934655  1.28459668 -4.60934009  3.02843097]\n",
            "24 [ 1.          0.93934655  1.20716107 -4.54660587  1.4659824 ]\n",
            "25 [ 1.          0.93934655  1.0731709  -5.00491928  2.02122373]\n",
            "26 [ 1.          0.93934655  1.31256175 -4.55476885  1.29330596]\n",
            "27 [ 1.          0.93934655  1.30124831 -4.87673963  2.75786422]\n",
            "28 [ 1.          0.93934655  0.94107568 -4.7510354   1.92456564]\n",
            "29 [ 1.          0.93934655  1.0703733  -4.40989065  2.50842281]\n",
            "30 [ 1.          0.93934655  1.0204792  -4.90290385  2.06918454]\n",
            "31 [ 1.          0.93934655  1.06772828 -5.19378624  1.92356622]\n",
            "32 [ 1.          0.93934655  1.33782887 -3.93075966  1.81186829]\n",
            "33 [ 1.          0.93934655  0.96222776 -4.71513449  1.94581642]\n",
            "34 [ 1.          0.93934655  1.088516   -4.29479074  1.69041762]\n",
            "35 [ 1.          0.93934655  1.14005184 -5.15975814  2.2940002 ]\n",
            "36 [ 1.          0.93934655  1.02561688 -4.3221564   2.34914469]\n",
            "37 [ 1.          0.93934655  1.4028511  -3.97202086  2.59099457]\n",
            "38 [ 1.          0.93934655  1.41304827 -3.97195724  1.52860172]\n",
            "39 [ 1.          0.93934655  1.12368643 -5.1914986   2.06362549]\n",
            "40 [ 1.          0.93934655  1.09603846 -5.25962403  2.13263894]\n",
            "41 [ 1.          0.93934655  1.14836526 -4.38946205  2.71106286]\n",
            "42 [ 1.          0.93934655  1.4483012  -3.89001989  2.55425612]\n",
            "43 [ 1.          0.94107568  1.43176055 -4.99280727  1.19753797]\n",
            "44 [ 1.          0.94107568  1.49612343 -5.57469579  1.53089602]\n",
            "45 [ 1.          0.94107568  1.55806899 -4.73057258  0.9837125 ]\n",
            "46 [ 1.          0.98919052  1.55805755 -3.97951436  3.16537849]\n",
            "47 [ 1.          0.98919052  1.84186769 -3.45523261  2.67832592]\n",
            "48 [ 1.          0.98919052  1.32913136 -4.67574437  3.15431517]\n",
            "49 [ 1.          0.99042696  1.4979285  -5.26225776  3.18508196]\n",
            "50 [ 1.          0.99042696  1.51283491 -5.52568929  2.87758829]\n",
            "51 [ 1.          0.99924171  1.63801908 -5.06401968  0.88875242]\n",
            "52 [ 1.          1.03821564  1.71505141 -5.68278588  1.28100452]\n",
            "53 [ 1.          1.0703733   1.83133769 -3.50797978  3.08483934]\n",
            "54 [ 1.          1.088516    1.78374577 -4.50228066  0.70633413]\n",
            "55 [ 1.          1.10335374  1.73500383 -5.0678883   0.78258079]\n",
            "56 [ 1.          1.14390886  1.6702168  -4.92715493  3.61847213]\n",
            "57 [ 1.          1.28459668  1.63848233 -4.95577241  4.21872997]\n",
            "58 [ 1.          1.28459668  1.80332363 -5.24126343  3.91754373]\n",
            "59 [ 1.          1.32913136  1.52036488 -4.89731302  4.42442115]\n",
            "60 [ 1.          1.4979285   1.38302708 -4.93894215  4.63034633]\n",
            "61 [ 1.          1.38302708  1.577631   -5.65957258  4.44777974]\n",
            "62 [ 1.          1.38302708  0.6073578  -5.36541463  5.62434654]\n",
            "63 [ 1.          0.6073578   0.42089996 -4.99151299  5.78696443]\n",
            "64 [ 1.          0.42089996  0.36365119 -5.02587013  5.96721475]\n",
            "65 [ 1.          0.36365119  0.41840681 -4.88077912  5.86916028]\n",
            "66 [ 1.          0.36365119  0.39243668 -5.04002441  5.85843087]\n",
            "67 [ 1.          0.36365119  0.39445019 -5.26574721  6.05447313]\n",
            "68 [ 1.          0.36365119  0.39310032 -5.26855705  5.98232523]\n",
            "69 [ 1.          0.36365119  0.36672667 -5.01993565  6.20144102]\n",
            "70 [ 1.          0.36365119  0.38008106 -5.22246597  6.03562863]\n",
            "71 [ 1.          0.36365119  0.47852725 -4.68639445  6.0486753 ]\n",
            "72 [ 1.          0.36365119  0.41715184 -5.05924701  6.24759583]\n",
            "73 [ 1.          0.36365119  0.40896618 -5.14902502  5.82741222]\n",
            "74 [ 1.          0.36365119  0.37704295 -5.20721441  6.08985533]\n",
            "75 [ 1.          0.36365119  0.39662191 -4.83017899  6.09228033]\n",
            "76 [ 1.          0.36365119  0.34423488 -4.90814882  5.98647775]\n",
            "77 [ 1.          0.34423488  0.35591641 -5.04607696  6.00942624]\n",
            "78 [ 1.          0.34423488  0.5750742  -4.60475241  5.82384844]\n",
            "79 [ 1.          0.34423488  0.39248955 -4.89387014  5.89164842]\n",
            "80 [ 1.          0.34423488  0.42624083 -5.12155768  6.24230427]\n",
            "81 [ 1.          0.34423488  0.36443189 -4.93782969  6.15429578]\n",
            "82 [ 1.          0.34423488  0.33371255 -4.93391004  6.05176586]\n",
            "83 [ 1.          0.33371255  0.45480567 -4.91597555  6.33054802]\n",
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            "  0.34423488  0.34423488  0.34423488  0.34423488  0.34423488  0.33371255\n",
            "  0.33371255  0.33371255  0.33371255  0.33371255  0.33371255  0.32288411\n",
            "  0.32288411  0.32288411  0.32288411  0.32288411  0.32288411  0.32288411\n",
            "  0.32288411  0.31596684  0.31596684  0.31596684  0.31596684  0.31596684\n",
            "  0.31596684  0.31596684  0.31596684  0.31596684  0.31596684  0.32288411\n",
            "  0.33371255  0.34423488  0.34423488  0.35028154  0.3611472   0.3680256\n",
            "  0.3680256   0.36961648  0.36961648  0.36961648  0.36961648  0.36961648\n",
            "  0.37704295  0.37718356  0.39310032  0.39445019  0.42089996  0.42864603\n",
            "  0.47852725  0.50983876  0.51230812  0.52330154  0.53486544  0.5607456\n",
            "  0.57063341  0.57850295  0.59743124  0.59743124  0.60134208  0.6617887\n",
            "  0.6617887   0.7028724   0.72782123  0.79329884  0.80879897  0.8179099\n",
            "  0.82681865  0.82761955  0.84524494  0.85642779  0.86275709  0.88186598\n",
            "  0.88652241  0.88652241  0.92210215  0.98659933  0.98659933  0.98659933\n",
            "  0.98659933  0.98942232  0.99318391  1.01099157  1.03697777  1.04054606\n",
            "  1.0723809   1.10564637  1.11998641  1.17410243  1.19111276  1.23597753\n",
            "  1.23597753  1.23597753  1.23597753  1.23597753  1.29092586  1.3012054\n",
            "  1.3012054   1.30829895  1.31064069  1.32908559  1.34175968  1.37021053\n",
            "  1.40194952  1.40194952  1.47846901  1.50577629  1.52875447  1.55947793\n",
            "  1.63129318  1.63129318  1.71878457  1.82826424  1.94875288  2.00727344\n",
            "  2.10122561  2.20521045  2.48182702 -1.          0.79057306  0.79057306\n",
            "  0.72399211  0.72399211  0.72399211  0.72399211  0.67976916  0.67976916\n",
            "  0.67976916  0.67976916  0.67976916  0.67976916  0.67642087  0.67642087\n",
            "  0.67642087  0.67642087  0.67642087  0.67642087  0.67642087  0.6531536\n",
            "  0.6531536   0.6531536   0.6531536   0.6531536   0.6531536   0.6531536\n",
            "  0.6531536   0.6531536   0.6531536   0.6531536   0.6531536   0.6531536\n",
            "  0.6531536   0.6531536   0.6531536   0.6531536   0.6531536   0.6531536\n",
            "  0.6531536   0.6531536   0.6531536   0.6531536   0.66661674  0.67642087\n",
            "  0.67976916  0.67976916  0.67976916  0.67976916  0.67976916  0.67976916\n",
            "  0.69617146  0.69948441  0.69948441  0.69948441  0.7053417   0.71032447\n",
            "  0.71331656  0.7170127   0.7170127   0.7170127   0.7170127   0.7170127\n",
            "  0.7170127   0.72475195  0.72809547  0.72816366  0.72816366  0.74167007\n",
            "  0.74167007  0.7434296   0.7498548   0.75490719  0.75490719  0.75490719\n",
            "  0.79249501  0.80276918  0.82639229  0.84575188  0.85099059  0.97543406\n",
            "  1.00640428  4.35577536  1.36949682  1.26504886  0.35630071  0.29582143\n",
            "  0.29582143  0.29582143  0.29582143  0.29582143  0.29582143  0.29582143\n",
            "  0.29374272  0.29374272  0.29374272  0.29374272  0.29132873  0.29132873\n",
            "  0.29132873  0.29132873  0.29132873  0.29132873  0.2858901   0.2858901\n",
            "  0.2858901   0.2858901   0.27764177  0.27764177  0.27764177  0.27764177\n",
            "  0.27764177  0.27764177  0.27764177  0.27764177  0.27764177  0.27764177\n",
            "  0.27764177  0.27764177  0.27764177  0.27059835  0.27059835  0.27059835\n",
            "  0.27059835  0.27059835  0.27059835  0.27059835  0.27059835  0.27059835\n",
            "  0.27059835  0.27059835  0.27059835  0.27059835  0.27764177  0.27988544\n",
            "  0.28054467  0.28081113  0.28575915  0.29132873  0.29279739  0.29374272\n",
            "  0.29374272  0.29582143  0.29632181  0.30163264  0.30411971  0.30705979\n",
            "  0.31302074  0.31506887  0.31843325  0.31983861  0.31983861  0.31983861\n",
            "  0.33909684  0.343514    0.35449278  0.35576159  0.36086205  0.36827576\n",
            "  0.37559494  0.37559494  0.3876999   0.3876999   0.39099467  0.40429342\n",
            "  0.41175455  0.41441327  0.41441327  0.4252739   0.43427902  0.43956628\n",
            "  0.44388366  0.45410892  0.45410892  0.46172941  0.46362391  0.46697652\n",
            "  0.49035653  0.51040268  0.51116073  0.52212751  0.54347491  0.55344278\n",
            "  0.55599761  0.58629882  0.61054355  0.61054355  0.62834305  0.66562039\n",
            "  0.6989556   0.6989556   0.70818305  0.71145236  0.72323054  0.72323054\n",
            "  0.77831638  0.79973316  0.8617385   0.88146222  0.93809754  0.93889135\n",
            "  0.97161388  0.9794938   0.99883741  1.0006336   1.0006336   0.43969828\n",
            "  0.43969828  0.43969828  0.43969828  0.43969828  0.43969828  0.43969828\n",
            "  0.43969828  0.43969828  0.43969828  0.43969828  0.43969828  0.43969828\n",
            "  0.43969828  0.43969828  0.43969828  0.43969828  0.43969828  0.43969828\n",
            "  0.43969828  0.43969828  0.43969828  0.43969828  0.43969828  0.43969828\n",
            "  0.43969828  0.43969828  0.43969828  0.43969828  0.43969828  0.43969828\n",
            "  0.43969828  0.43969828  0.43969828  0.43969828  0.43969828  0.43969828\n",
            "  0.43969828  0.43969828  0.44104913  0.44104913  0.44104913  0.44104913\n",
            "  0.44104913  0.44339111  0.44339111  0.44339111  0.44339111  0.44339111\n",
            "  0.44339111  0.44339111  0.44962046  0.46369827  0.46668401  0.46668401\n",
            "  0.46879023  0.4827356   0.4827356   0.4827356   0.4827356   0.4874658\n",
            "  0.48768499  0.49561867  0.49561867  0.49561867  0.49862322  0.51520842\n",
            "  0.51639515  0.51804197  0.52094322  0.53064507  0.53064507  0.54674125\n",
            "  0.5579775   0.5759837   0.57643855  0.57661313  0.59056139  0.59196311\n",
            "  0.59841692  0.59990501  0.62643278  0.62708884  0.64090925  0.64090925\n",
            "  0.73314029  0.74291599  0.76157779  0.7721194   0.80139792  0.81396055\n",
            "  0.8303085   0.88910627  1.01733267  1.02169716  1.02169716  1.02169716\n",
            "  1.02285862  1.04657459  1.04707062  1.11905956  1.18349993  1.25047553\n",
            "  1.36951303  1.37739491  1.49042726  1.64089537  1.72441256  1.72441256\n",
            "  1.72441256  1.93085051]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "TOTAL BEFORE MERGING 59\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "TOTAL POINTS 512\n",
            "CLUSTERS\n",
            "------------------------------------------\n",
            "Size, X mean +/- stddev, Y mean +/- stddev\n",
            "235 2.797771441210577 1.4791531150978856 -1.608059100821375 0.875418798182099\n",
            "Members:\n",
            "[[ 4.23141857  0.42268349]\n",
            " [ 4.38435864  0.25469777]\n",
            " [ 4.07035672 -0.80319307]\n",
            " [ 3.92492435 -1.12846164]\n",
            " [ 3.95557602 -1.25864611]\n",
            " [ 3.94600947 -1.20564346]\n",
            " [ 4.06613884 -1.38840164]\n",
            " [ 3.64877135 -1.10074039]\n",
            " [ 3.94706569 -0.85428931]\n",
            " [ 4.12634075 -1.29593597]\n",
            " [ 4.15220594 -0.99643595]\n",
            " [ 4.19270454 -1.1576479 ]\n",
            " [ 3.96930841 -1.22055144]\n",
            " [ 3.95039875 -1.10429555]\n",
            " [ 4.10751553 -1.09214231]\n",
            " [ 4.17474172 -1.28046239]\n",
            " [ 4.13514822 -1.32967755]\n",
            " [ 4.30644281 -0.97162222]\n",
            " [ 4.22388462 -1.07838796]\n",
            " [ 3.94532266 -1.12239947]\n",
            " [ 3.99904271 -1.01646855]\n",
            " [ 4.12124788 -1.19129042]\n",
            " [ 3.80959488 -1.1463592 ]\n",
            " [ 4.15561606 -0.9551534 ]\n",
            " [ 3.91979985 -1.00023103]\n",
            " [ 3.98608022 -1.17898552]\n",
            " [ 3.659396   -0.94243434]\n",
            " [ 4.014161   -0.93687658]\n",
            " [ 3.71928219 -0.82141663]\n",
            " [ 3.74564851 -0.94324312]\n",
            " [ 3.71194063 -0.98081686]\n",
            " [ 3.75099807 -0.85006366]\n",
            " [ 4.02345335 -0.83828902]\n",
            " [ 4.05198398 -0.9221608 ]\n",
            " [ 3.86260761 -1.25896093]\n",
            " [ 3.99370792 -1.16414848]\n",
            " [ 3.90405611 -1.07584506]\n",
            " [ 4.05886446 -1.04105926]\n",
            " [ 3.94953893 -0.79991981]\n",
            " [ 4.0596024  -1.27970047]\n",
            " [ 3.89830723 -0.91318634]\n",
            " [ 4.04877749 -1.1043142 ]\n",
            " [ 4.09944217 -0.90587259]\n",
            " [ 3.85043768 -1.15625392]\n",
            " [ 3.83779587 -0.99069259]\n",
            " [ 4.07377495 -0.82169706]\n",
            " [ 3.99779814 -1.00397235]\n",
            " [ 3.98087234 -0.89172907]\n",
            " [ 4.04800716 -1.22012432]\n",
            " [ 4.08021578 -0.77186357]\n",
            " [ 3.88364709 -0.97177577]\n",
            " [ 3.93800019 -0.73577734]\n",
            " [ 4.15963072 -0.77994235]\n",
            " [ 3.64011854 -0.97823723]\n",
            " [ 3.60720205 -0.92245063]\n",
            " [ 4.32461466 -1.17896191]\n",
            " [ 4.33715722 -0.91798298]\n",
            " [ 4.18735896 -0.7342931 ]\n",
            " [ 4.39321882 -1.01205989]\n",
            " [ 4.32397459 -0.82404157]\n",
            " [ 3.69134072 -1.28293326]\n",
            " [ 3.63802536 -0.78341414]\n",
            " [ 3.72329139 -1.35279699]\n",
            " [ 3.74392004 -1.37285108]\n",
            " [ 4.02737384 -0.62246105]\n",
            " [ 3.63487872 -1.24617074]\n",
            " [ 3.88950307 -1.47029912]\n",
            " [ 4.21899362 -0.61462578]\n",
            " [ 4.49003028 -1.1461741 ]\n",
            " [ 4.49922887 -0.92037238]\n",
            " [ 4.42604215 -1.27063257]\n",
            " [ 3.860854   -0.5263347 ]\n",
            " [ 4.24401436 -0.57493621]\n",
            " [ 4.33653973 -0.59928046]\n",
            " [ 3.5097549  -0.78679381]\n",
            " [ 3.45031462 -1.18010909]\n",
            " [ 3.95923682 -1.63360617]\n",
            " [ 4.02338225 -0.41500503]\n",
            " [ 4.13917531 -0.43170364]\n",
            " [ 4.61604534 -1.20311597]\n",
            " [ 4.60630939 -0.80735684]\n",
            " [ 4.35907069 -0.48987395]\n",
            " [ 3.46498005 -0.64731528]\n",
            " [ 4.51451995 -1.51304023]\n",
            " [ 3.47250939 -1.43329237]\n",
            " [ 3.28632018 -1.29523837]\n",
            " [ 4.31875369 -0.34505564]\n",
            " [ 3.51796005 -0.45494814]\n",
            " [ 3.39984958 -1.51049353]\n",
            " [ 3.88733086 -1.74867659]\n",
            " [ 4.01847852 -1.77472323]\n",
            " [ 4.23401663 -1.79877216]\n",
            " [ 3.45563639 -1.73352634]\n",
            " [ 4.20622143 -0.27105307]\n",
            " [ 3.17229076 -1.07750244]\n",
            " [ 4.63261662 -0.42934755]\n",
            " [ 3.14456456 -1.3879562 ]\n",
            " [ 4.7412413  -0.52878965]\n",
            " [ 3.99595792 -0.02198951]\n",
            " [ 4.8558293  -0.50434368]\n",
            " [ 2.95234096 -1.15745048]\n",
            " [ 2.96271082 -0.91294629]\n",
            " [ 5.08468389 -0.95181793]\n",
            " [ 3.96171996 -2.24414459]\n",
            " [ 3.5980057  -2.12411175]\n",
            " [ 4.77124454 -0.0885726 ]\n",
            " [ 3.31989762 -0.0761215 ]\n",
            " [ 2.73222987 -1.39256291]\n",
            " [ 2.80562207 -1.84429505]\n",
            " [ 4.34526193 -2.31166552]\n",
            " [ 2.79655006 -0.4036645 ]\n",
            " [ 2.91956746 -0.11907774]\n",
            " [ 3.03267195  0.04532871]\n",
            " [ 4.78620323 -2.3277964 ]\n",
            " [ 3.01130666 -2.38228309]\n",
            " [ 3.80542022 -2.60970781]\n",
            " [ 2.71861707 -2.21703209]\n",
            " [ 4.04183966 -2.71697425]\n",
            " [ 2.41713994 -0.51959188]\n",
            " [ 4.12162112 -2.76386343]\n",
            " [ 1.9887887  -0.80862081]\n",
            " [ 2.91039052 -2.57041524]\n",
            " [ 1.99308166 -1.44221181]\n",
            " [ 1.2223855  -1.89386159]\n",
            " [ 1.07364046 -1.65198993]\n",
            " [ 1.17639358 -1.67553645]\n",
            " [ 1.43210711 -1.67536011]\n",
            " [ 1.01439839 -1.68342048]\n",
            " [ 1.27125669 -2.32972595]\n",
            " [ 0.99219391 -1.67290685]\n",
            " [ 1.44975676 -1.84187993]\n",
            " [ 0.97948779 -2.09782058]\n",
            " [ 1.1990533  -1.95612287]\n",
            " [ 0.8393501  -1.77398634]\n",
            " [ 1.25623672 -1.79519984]\n",
            " [ 1.19497895 -2.30745371]\n",
            " [ 1.03231203 -1.54840938]\n",
            " [ 1.14367448 -2.32432597]\n",
            " [ 1.13855427 -1.52983506]\n",
            " [ 0.93269242 -1.59057628]\n",
            " [ 0.81832187 -2.00630454]\n",
            " [ 1.02250249 -1.70916662]\n",
            " [ 1.06563542 -1.74428108]\n",
            " [ 1.26387367 -2.30382966]\n",
            " [ 1.46217325 -2.0654154 ]\n",
            " [ 0.99203175 -2.26839023]\n",
            " [ 1.14210484 -1.72795954]\n",
            " [ 1.11879889 -2.11648396]\n",
            " [ 1.32447606 -2.14498853]\n",
            " [ 0.9839047  -1.53622207]\n",
            " [ 1.42686344 -1.95718074]\n",
            " [ 1.27491395 -2.15607047]\n",
            " [ 1.19047729 -1.97805058]\n",
            " [ 0.95866301 -2.10638105]\n",
            " [ 1.23467555 -2.21337643]\n",
            " [ 1.1590816  -1.62005321]\n",
            " [ 1.23754367 -1.99821077]\n",
            " [ 1.515458   -2.10028129]\n",
            " [ 1.36418532 -1.65096324]\n",
            " [ 0.85418095 -2.01382401]\n",
            " [ 0.80403088 -1.91702595]\n",
            " [ 0.98353464 -1.94974728]\n",
            " [ 1.059143   -2.25188707]\n",
            " [ 1.5563639  -2.27878943]\n",
            " [ 0.94537106 -2.30448608]\n",
            " [ 1.49578849 -2.31435556]\n",
            " [ 1.57849298 -2.19632572]\n",
            " [ 1.5815445  -2.18463597]\n",
            " [ 0.93971868 -1.53077532]\n",
            " [ 0.63946614 -1.97805894]\n",
            " [ 0.90400388 -1.54328395]\n",
            " [ 0.56272662 -1.92309843]\n",
            " [ 0.73342209 -1.61467043]\n",
            " [ 0.76639509 -2.16513626]\n",
            " [ 0.93767998 -2.32581187]\n",
            " [ 1.68715994 -2.00016771]\n",
            " [ 1.6451997  -2.21919204]\n",
            " [ 0.83027461 -2.45383401]\n",
            " [ 1.30312476 -2.49487452]\n",
            " [ 0.52243108 -2.03429205]\n",
            " [ 0.6288078  -2.45594314]\n",
            " [ 0.61651576 -2.41777882]\n",
            " [ 0.57474045 -2.31499504]\n",
            " [ 0.74546898 -2.47484995]\n",
            " [ 0.34525534 -2.06909056]\n",
            " [ 1.66898    -1.69792787]\n",
            " [ 1.21938557 -2.62398954]\n",
            " [ 1.49293525 -2.54988232]\n",
            " [ 1.19380157 -2.61445519]\n",
            " [ 1.26797631 -2.65751001]\n",
            " [ 1.83422839 -2.07020706]\n",
            " [ 1.09351088 -1.30457571]\n",
            " [ 1.6883543  -2.51371615]\n",
            " [ 1.47419288 -2.76525744]\n",
            " [ 1.27225633 -2.84139252]\n",
            " [ 1.75664954 -2.51105733]\n",
            " [ 1.24267835 -2.87571984]\n",
            " [ 1.74108867 -1.36599691]\n",
            " [ 1.54467973 -2.86789891]\n",
            " [ 0.30371457 -2.27389245]\n",
            " [ 2.02215153 -1.77225997]\n",
            " [ 2.10555107 -2.12379693]\n",
            " [ 2.06890577 -1.89024357]\n",
            " [ 0.06693777 -1.83819739]\n",
            " [ 0.66205734 -1.1720118 ]\n",
            " [ 0.51238587 -1.23965275]\n",
            " [ 0.04097547 -2.16527334]\n",
            " [ 1.3008047  -0.9137732 ]\n",
            " [ 1.27119209 -0.9742183 ]\n",
            " [ 1.47604163 -0.87899183]\n",
            " [ 0.41394393 -0.94395595]\n",
            " [ 2.28514032 -2.63208026]\n",
            " [ 2.48523157 -2.26842893]\n",
            " [ 1.03902682 -0.66387773]\n",
            " [-0.20674406 -2.54262131]\n",
            " [ 2.42122691 -3.00880116]\n",
            " [ 2.44974395 -3.0679505 ]\n",
            " [ 4.51987708 -2.77511718]\n",
            " [ 3.0560587  -2.96175817]\n",
            " [ 2.9799895  -2.9254864 ]\n",
            " [ 3.61857192 -3.01176526]\n",
            " [ 3.38848122 -3.12528068]\n",
            " [ 1.76678966 -0.31973809]\n",
            " [ 5.99718318 -1.26190812]\n",
            " [ 2.69838091 -3.49851365]\n",
            " [ 3.7399062  -3.40667252]\n",
            " [ 5.42984053 -2.93406305]\n",
            " [ 5.71125075 -2.40985252]\n",
            " [ 3.03392562 -4.03043847]\n",
            " [ 6.46089206 -1.52402766]\n",
            " [ 1.77479723 -4.56360602]\n",
            " [ 3.49092384 -4.63397612]\n",
            " [ 2.62179787 -4.84231488]\n",
            " [ 2.70439569 -4.99825795]\n",
            " [ 6.98029689 -2.82583191]]\n",
            "------------------------------------------\n",
            "Size, X mean +/- stddev, Y mean +/- stddev\n",
            "188 -4.97814658701648 0.9090335802005928 4.810154238113886 2.0097690085416384\n",
            "Members:\n",
            "[[-5.83373136  3.87243819]\n",
            " [-4.95621513  2.96452895]\n",
            " [-4.73149924  2.04880908]\n",
            " [-5.07820545  1.68334391]\n",
            " [-4.67208563  2.66660429]\n",
            " [-4.46724739  2.39469757]\n",
            " [-5.31156823  2.07904429]\n",
            " [-5.54797633  2.15141875]\n",
            " [-4.36812478  1.98328457]\n",
            " [-4.98290532  2.62926436]\n",
            " [-3.8904725   1.83137489]\n",
            " [-4.30502551  2.23721901]\n",
            " [-4.99261183  1.46178519]\n",
            " [-4.69341824  1.96469132]\n",
            " [-4.3717278   1.93211439]\n",
            " [-5.20808784  1.40203632]\n",
            " [-4.67996121  1.23328628]\n",
            " [-4.81939572  1.85758826]\n",
            " [-4.73835383  2.38522463]\n",
            " [-4.59607677  2.14075656]\n",
            " [-4.41477456  1.53532933]\n",
            " [-3.79853499  2.63704124]\n",
            " [-5.15426669  2.34654223]\n",
            " [-4.60934009  3.02843097]\n",
            " [-4.54660587  1.4659824 ]\n",
            " [-5.00491928  2.02122373]\n",
            " [-4.55476885  1.29330596]\n",
            " [-4.87673963  2.75786422]\n",
            " [-4.7510354   1.92456564]\n",
            " [-4.40989065  2.50842281]\n",
            " [-4.90290385  2.06918454]\n",
            " [-5.19378624  1.92356622]\n",
            " [-3.93075966  1.81186829]\n",
            " [-4.71513449  1.94581642]\n",
            " [-4.29479074  1.69041762]\n",
            " [-5.15975814  2.2940002 ]\n",
            " [-4.3221564   2.34914469]\n",
            " [-3.97202086  2.59099457]\n",
            " [-3.97195724  1.52860172]\n",
            " [-5.1914986   2.06362549]\n",
            " [-5.25962403  2.13263894]\n",
            " [-4.38946205  2.71106286]\n",
            " [-3.89001989  2.55425612]\n",
            " [-4.99280727  1.19753797]\n",
            " [-5.57469579  1.53089602]\n",
            " [-4.73057258  0.9837125 ]\n",
            " [-3.97951436  3.16537849]\n",
            " [-3.45523261  2.67832592]\n",
            " [-4.67574437  3.15431517]\n",
            " [-5.26225776  3.18508196]\n",
            " [-5.52568929  2.87758829]\n",
            " [-5.06401968  0.88875242]\n",
            " [-5.68278588  1.28100452]\n",
            " [-3.50797978  3.08483934]\n",
            " [-4.50228066  0.70633413]\n",
            " [-5.0678883   0.78258079]\n",
            " [-4.92715493  3.61847213]\n",
            " [-4.95577241  4.21872997]\n",
            " [-5.24126343  3.91754373]\n",
            " [-4.89731302  4.42442115]\n",
            " [-4.93894215  4.63034633]\n",
            " [-5.65957258  4.44777974]\n",
            " [-5.36541463  5.62434654]\n",
            " [-4.99151299  5.78696443]\n",
            " [-5.02587013  5.96721475]\n",
            " [-4.88077912  5.86916028]\n",
            " [-5.04002441  5.85843087]\n",
            " [-5.26574721  6.05447313]\n",
            " [-5.26855705  5.98232523]\n",
            " [-5.01993565  6.20144102]\n",
            " [-5.22246597  6.03562863]\n",
            " [-4.68639445  6.0486753 ]\n",
            " [-5.05924701  6.24759583]\n",
            " [-5.14902502  5.82741222]\n",
            " [-5.20721441  6.08985533]\n",
            " [-4.83017899  6.09228033]\n",
            " [-4.90814882  5.98647775]\n",
            " [-5.04607696  6.00942624]\n",
            " [-4.60475241  5.82384844]\n",
            " [-4.89387014  5.89164842]\n",
            " [-5.12155768  6.24230427]\n",
            " [-4.93782969  6.15429578]\n",
            " [-4.93391004  6.05176586]\n",
            " [-4.91597555  6.33054802]\n",
            " [-4.73411     6.29486904]\n",
            " [-4.95905669  6.20661111]\n",
            " [-5.01380147  6.05331385]\n",
            " [-4.90713358  6.13044942]\n",
            " [-4.98328037  6.07564725]\n",
            " [-4.87726605  5.94465396]\n",
            " [-4.96832047  6.38849102]\n",
            " [-5.13282678  6.22097191]\n",
            " [-4.66305795  6.11702103]\n",
            " [-4.97276333  6.1461584 ]\n",
            " [-4.93782018  6.27368709]\n",
            " [-4.92804725  6.29992779]\n",
            " [-5.05034003  6.08490169]\n",
            " [-5.23008256  6.13571598]\n",
            " [-5.20526568  5.80952336]\n",
            " [-5.30158665  6.13212987]\n",
            " [-5.18638907  5.91517277]\n",
            " [-4.75442649  6.02574953]\n",
            " [-5.31986921  6.19105924]\n",
            " [-5.17796709  6.16104888]\n",
            " [-5.12533987  6.03147784]\n",
            " [-4.97970577  6.25987637]\n",
            " [-4.91594968  6.16726872]\n",
            " [-4.66646549  6.02262387]\n",
            " [-4.60435046  5.99928026]\n",
            " [-4.89477968  5.6872684 ]\n",
            " [-4.73886375  5.72887904]\n",
            " [-4.77474018  5.66259619]\n",
            " [-4.82337448  6.48884415]\n",
            " [-5.46895725  5.89968314]\n",
            " [-5.46513952  5.89861051]\n",
            " [-5.48225396  5.79905181]\n",
            " [-5.01869341  5.58901616]\n",
            " [-5.38163816  5.65451026]\n",
            " [-5.41735101  5.80471961]\n",
            " [-5.40211291  5.73775123]\n",
            " [-5.3140693   6.44267226]\n",
            " [-5.51393779  5.72814567]\n",
            " [-5.61884174  6.15514896]\n",
            " [-5.62928456  6.14774145]\n",
            " [-4.85081373  5.43968998]\n",
            " [-5.06409474  5.36450828]\n",
            " [-4.27477326  6.18099597]\n",
            " [-4.74015237  5.32838254]\n",
            " [-4.16323302  5.92662063]\n",
            " [-4.22261174  5.74542639]\n",
            " [-4.47589641  5.354676  ]\n",
            " [-5.25557314  6.87007311]\n",
            " [-5.9706407   5.66510096]\n",
            " [-4.03044612  6.07207683]\n",
            " [-5.84193487  6.66162008]\n",
            " [-5.39988665  6.8162974 ]\n",
            " [-4.80653528  7.08881176]\n",
            " [-6.14263237  6.13641083]\n",
            " [-6.21199933  5.9946228 ]\n",
            " [-5.08617829  4.80477943]\n",
            " [-6.1277662   5.33707201]\n",
            " [-6.31429761  6.54784094]\n",
            " [-6.35706965  6.50056505]\n",
            " [-3.69850732  6.108197  ]\n",
            " [-6.44847889  6.0357156 ]\n",
            " [-6.33754823  5.64678114]\n",
            " [-5.40066907  7.28346911]\n",
            " [-4.23705173  4.63530335]\n",
            " [-6.49164318  6.12152058]\n",
            " [-3.8521036   5.20057647]\n",
            " [-6.11093096  7.02188869]\n",
            " [-5.81174533  7.17891147]\n",
            " [-6.27778839  5.21161382]\n",
            " [-6.47150952  4.84095608]\n",
            " [-6.65804838  5.8293517 ]\n",
            " [-6.30041037  4.84444894]\n",
            " [-6.45101837  5.01191714]\n",
            " [-6.12687094  7.54074343]\n",
            " [-3.6565732   6.95832664]\n",
            " [-5.75287077  7.7636657 ]\n",
            " [-6.97892005  5.42282938]\n",
            " [-6.964303    6.1130546 ]\n",
            " [-3.26306288  5.26660808]\n",
            " [-4.41014904  7.62492192]\n",
            " [-7.24613826  5.56459145]\n",
            " [-7.28670353  5.5218359 ]\n",
            " [-3.90916525  7.8720595 ]\n",
            " [-5.67176806  8.34390339]\n",
            " [-5.29419978  8.38728857]\n",
            " [-5.40411818  8.37290768]\n",
            " [-5.86721281  8.17111163]\n",
            " [-5.64674359  8.0950079 ]\n",
            " [-6.93093366  7.5393037 ]\n",
            " [-3.11084016  4.95175623]\n",
            " [-2.95817993  5.0665602 ]\n",
            " [-2.39789753  6.24983182]\n",
            " [-2.44955709  5.71082778]\n",
            " [-3.45399794  4.50485729]\n",
            " [-6.42234168  3.89854817]\n",
            " [-3.05715603  4.89735238]\n",
            " [-3.21313719  4.62479321]\n",
            " [-2.52515681  5.20750019]\n",
            " [-2.59963729  4.41495635]\n",
            " [-5.39173466  8.78921846]\n",
            " [-6.16995553  0.12279248]\n",
            " [-7.90945294  4.49113161]\n",
            " [-2.41438541  7.40183989]\n",
            " [-3.40973301  8.04722373]]\n",
            "------------------------------------------\n",
            "Size, X mean +/- stddev, Y mean +/- stddev\n",
            "122 -5.117985648670215 0.9410088913662834 6.0429747761702215 0.8085455729279472\n",
            "Members:\n",
            "[[-4.93894215  4.63034633]\n",
            " [-5.65957258  4.44777974]\n",
            " [-5.36541463  5.62434654]\n",
            " [-4.99151299  5.78696443]\n",
            " [-5.02587013  5.96721475]\n",
            " [-4.88077912  5.86916028]\n",
            " [-5.04002441  5.85843087]\n",
            " [-5.26574721  6.05447313]\n",
            " [-5.26855705  5.98232523]\n",
            " [-5.01993565  6.20144102]\n",
            " [-5.22246597  6.03562863]\n",
            " [-4.68639445  6.0486753 ]\n",
            " [-5.05924701  6.24759583]\n",
            " [-5.14902502  5.82741222]\n",
            " [-5.20721441  6.08985533]\n",
            " [-4.83017899  6.09228033]\n",
            " [-4.90814882  5.98647775]\n",
            " [-5.04607696  6.00942624]\n",
            " [-4.60475241  5.82384844]\n",
            " [-4.89387014  5.89164842]\n",
            " [-5.12155768  6.24230427]\n",
            " [-4.93782969  6.15429578]\n",
            " [-4.93391004  6.05176586]\n",
            " [-4.91597555  6.33054802]\n",
            " [-4.73411     6.29486904]\n",
            " [-4.95905669  6.20661111]\n",
            " [-5.01380147  6.05331385]\n",
            " [-4.90713358  6.13044942]\n",
            " [-4.98328037  6.07564725]\n",
            " [-4.87726605  5.94465396]\n",
            " [-4.96832047  6.38849102]\n",
            " [-5.13282678  6.22097191]\n",
            " [-4.66305795  6.11702103]\n",
            " [-4.97276333  6.1461584 ]\n",
            " [-4.93782018  6.27368709]\n",
            " [-4.92804725  6.29992779]\n",
            " [-5.05034003  6.08490169]\n",
            " [-5.23008256  6.13571598]\n",
            " [-5.20526568  5.80952336]\n",
            " [-5.30158665  6.13212987]\n",
            " [-5.18638907  5.91517277]\n",
            " [-4.75442649  6.02574953]\n",
            " [-5.31986921  6.19105924]\n",
            " [-5.17796709  6.16104888]\n",
            " [-5.12533987  6.03147784]\n",
            " [-4.97970577  6.25987637]\n",
            " [-4.91594968  6.16726872]\n",
            " [-4.66646549  6.02262387]\n",
            " [-4.60435046  5.99928026]\n",
            " [-4.89477968  5.6872684 ]\n",
            " [-4.73886375  5.72887904]\n",
            " [-4.77474018  5.66259619]\n",
            " [-4.82337448  6.48884415]\n",
            " [-5.46895725  5.89968314]\n",
            " [-5.46513952  5.89861051]\n",
            " [-5.48225396  5.79905181]\n",
            " [-5.01869341  5.58901616]\n",
            " [-5.38163816  5.65451026]\n",
            " [-5.41735101  5.80471961]\n",
            " [-5.40211291  5.73775123]\n",
            " [-5.3140693   6.44267226]\n",
            " [-5.51393779  5.72814567]\n",
            " [-5.61884174  6.15514896]\n",
            " [-5.62928456  6.14774145]\n",
            " [-4.85081373  5.43968998]\n",
            " [-5.06409474  5.36450828]\n",
            " [-4.27477326  6.18099597]\n",
            " [-4.74015237  5.32838254]\n",
            " [-4.16323302  5.92662063]\n",
            " [-4.22261174  5.74542639]\n",
            " [-4.47589641  5.354676  ]\n",
            " [-5.25557314  6.87007311]\n",
            " [-5.9706407   5.66510096]\n",
            " [-4.03044612  6.07207683]\n",
            " [-5.84193487  6.66162008]\n",
            " [-5.39988665  6.8162974 ]\n",
            " [-4.80653528  7.08881176]\n",
            " [-6.14263237  6.13641083]\n",
            " [-6.21199933  5.9946228 ]\n",
            " [-5.08617829  4.80477943]\n",
            " [-6.1277662   5.33707201]\n",
            " [-6.31429761  6.54784094]\n",
            " [-6.35706965  6.50056505]\n",
            " [-3.69850732  6.108197  ]\n",
            " [-6.44847889  6.0357156 ]\n",
            " [-6.33754823  5.64678114]\n",
            " [-5.40066907  7.28346911]\n",
            " [-4.23705173  4.63530335]\n",
            " [-6.49164318  6.12152058]\n",
            " [-3.8521036   5.20057647]\n",
            " [-6.11093096  7.02188869]\n",
            " [-5.81174533  7.17891147]\n",
            " [-6.27778839  5.21161382]\n",
            " [-6.47150952  4.84095608]\n",
            " [-6.65804838  5.8293517 ]\n",
            " [-6.30041037  4.84444894]\n",
            " [-6.45101837  5.01191714]\n",
            " [-6.12687094  7.54074343]\n",
            " [-3.6565732   6.95832664]\n",
            " [-5.75287077  7.7636657 ]\n",
            " [-6.97892005  5.42282938]\n",
            " [-6.964303    6.1130546 ]\n",
            " [-3.26306288  5.26660808]\n",
            " [-4.41014904  7.62492192]\n",
            " [-7.24613826  5.56459145]\n",
            " [-7.28670353  5.5218359 ]\n",
            " [-3.90916525  7.8720595 ]\n",
            " [-5.67176806  8.34390339]\n",
            " [-5.29419978  8.38728857]\n",
            " [-5.40411818  8.37290768]\n",
            " [-5.86721281  8.17111163]\n",
            " [-5.64674359  8.0950079 ]\n",
            " [-6.93093366  7.5393037 ]\n",
            " [-3.11084016  4.95175623]\n",
            " [-2.95817993  5.0665602 ]\n",
            " [-2.39789753  6.24983182]\n",
            " [-2.44955709  5.71082778]\n",
            " [-3.45399794  4.50485729]\n",
            " [-6.42234168  3.89854817]\n",
            " [-3.05715603  4.89735238]\n",
            " [-3.21313719  4.62479321]\n",
            " [-2.52515681  5.20750019]]\n",
            "------------------------------------------\n",
            "Size, X mean +/- stddev, Y mean +/- stddev\n",
            "119 3.9171012123701745 0.47395956007843143 -1.0458117962038165 0.5404635267379395\n",
            "Members:\n",
            "[[ 4.23141857  0.42268349]\n",
            " [ 4.38435864  0.25469777]\n",
            " [ 4.07035672 -0.80319307]\n",
            " [ 3.92492435 -1.12846164]\n",
            " [ 3.95557602 -1.25864611]\n",
            " [ 3.94600947 -1.20564346]\n",
            " [ 4.06613884 -1.38840164]\n",
            " [ 3.64877135 -1.10074039]\n",
            " [ 3.94706569 -0.85428931]\n",
            " [ 4.12634075 -1.29593597]\n",
            " [ 4.15220594 -0.99643595]\n",
            " [ 4.19270454 -1.1576479 ]\n",
            " [ 3.96930841 -1.22055144]\n",
            " [ 3.95039875 -1.10429555]\n",
            " [ 4.10751553 -1.09214231]\n",
            " [ 4.17474172 -1.28046239]\n",
            " [ 4.13514822 -1.32967755]\n",
            " [ 4.30644281 -0.97162222]\n",
            " [ 4.22388462 -1.07838796]\n",
            " [ 3.94532266 -1.12239947]\n",
            " [ 3.99904271 -1.01646855]\n",
            " [ 4.12124788 -1.19129042]\n",
            " [ 3.80959488 -1.1463592 ]\n",
            " [ 4.15561606 -0.9551534 ]\n",
            " [ 3.91979985 -1.00023103]\n",
            " [ 3.98608022 -1.17898552]\n",
            " [ 3.659396   -0.94243434]\n",
            " [ 4.014161   -0.93687658]\n",
            " [ 3.71928219 -0.82141663]\n",
            " [ 3.74564851 -0.94324312]\n",
            " [ 3.71194063 -0.98081686]\n",
            " [ 3.75099807 -0.85006366]\n",
            " [ 4.02345335 -0.83828902]\n",
            " [ 4.05198398 -0.9221608 ]\n",
            " [ 3.86260761 -1.25896093]\n",
            " [ 3.99370792 -1.16414848]\n",
            " [ 3.90405611 -1.07584506]\n",
            " [ 4.05886446 -1.04105926]\n",
            " [ 3.94953893 -0.79991981]\n",
            " [ 4.0596024  -1.27970047]\n",
            " [ 3.89830723 -0.91318634]\n",
            " [ 4.04877749 -1.1043142 ]\n",
            " [ 4.09944217 -0.90587259]\n",
            " [ 3.85043768 -1.15625392]\n",
            " [ 3.83779587 -0.99069259]\n",
            " [ 4.07377495 -0.82169706]\n",
            " [ 3.99779814 -1.00397235]\n",
            " [ 3.98087234 -0.89172907]\n",
            " [ 4.04800716 -1.22012432]\n",
            " [ 4.08021578 -0.77186357]\n",
            " [ 3.88364709 -0.97177577]\n",
            " [ 3.93800019 -0.73577734]\n",
            " [ 4.15963072 -0.77994235]\n",
            " [ 3.64011854 -0.97823723]\n",
            " [ 3.60720205 -0.92245063]\n",
            " [ 4.32461466 -1.17896191]\n",
            " [ 4.33715722 -0.91798298]\n",
            " [ 4.18735896 -0.7342931 ]\n",
            " [ 4.39321882 -1.01205989]\n",
            " [ 4.32397459 -0.82404157]\n",
            " [ 3.69134072 -1.28293326]\n",
            " [ 3.63802536 -0.78341414]\n",
            " [ 3.72329139 -1.35279699]\n",
            " [ 3.74392004 -1.37285108]\n",
            " [ 4.02737384 -0.62246105]\n",
            " [ 3.63487872 -1.24617074]\n",
            " [ 3.88950307 -1.47029912]\n",
            " [ 4.21899362 -0.61462578]\n",
            " [ 4.49003028 -1.1461741 ]\n",
            " [ 4.49922887 -0.92037238]\n",
            " [ 4.42604215 -1.27063257]\n",
            " [ 3.860854   -0.5263347 ]\n",
            " [ 4.24401436 -0.57493621]\n",
            " [ 4.33653973 -0.59928046]\n",
            " [ 3.5097549  -0.78679381]\n",
            " [ 3.45031462 -1.18010909]\n",
            " [ 3.95923682 -1.63360617]\n",
            " [ 4.02338225 -0.41500503]\n",
            " [ 4.13917531 -0.43170364]\n",
            " [ 4.61604534 -1.20311597]\n",
            " [ 4.60630939 -0.80735684]\n",
            " [ 4.35907069 -0.48987395]\n",
            " [ 3.46498005 -0.64731528]\n",
            " [ 4.51451995 -1.51304023]\n",
            " [ 3.47250939 -1.43329237]\n",
            " [ 3.28632018 -1.29523837]\n",
            " [ 4.31875369 -0.34505564]\n",
            " [ 3.51796005 -0.45494814]\n",
            " [ 3.39984958 -1.51049353]\n",
            " [ 3.88733086 -1.74867659]\n",
            " [ 4.01847852 -1.77472323]\n",
            " [ 4.23401663 -1.79877216]\n",
            " [ 3.45563639 -1.73352634]\n",
            " [ 4.20622143 -0.27105307]\n",
            " [ 3.17229076 -1.07750244]\n",
            " [ 4.63261662 -0.42934755]\n",
            " [ 3.14456456 -1.3879562 ]\n",
            " [ 4.7412413  -0.52878965]\n",
            " [ 3.99595792 -0.02198951]\n",
            " [ 4.8558293  -0.50434368]\n",
            " [ 2.95234096 -1.15745048]\n",
            " [ 2.96271082 -0.91294629]\n",
            " [ 5.08468389 -0.95181793]\n",
            " [ 3.96171996 -2.24414459]\n",
            " [ 3.5980057  -2.12411175]\n",
            " [ 4.77124454 -0.0885726 ]\n",
            " [ 3.31989762 -0.0761215 ]\n",
            " [ 2.73222987 -1.39256291]\n",
            " [ 2.80562207 -1.84429505]\n",
            " [ 4.34526193 -2.31166552]\n",
            " [ 2.79655006 -0.4036645 ]\n",
            " [ 2.91956746 -0.11907774]\n",
            " [ 3.03267195  0.04532871]\n",
            " [ 4.78620323 -2.3277964 ]\n",
            " [ 3.01130666 -2.38228309]\n",
            " [ 3.80542022 -2.60970781]\n",
            " [ 2.71861707 -2.21703209]\n",
            " [ 4.04183966 -2.71697425]\n",
            " [ 2.41713994 -0.51959188]]\n",
            "------------------------------------------\n",
            "Size, X mean +/- stddev, Y mean +/- stddev\n",
            "93 1.1602608559131005 0.48115503214868255 -2.007963596883811 0.4682099656043944\n",
            "Members:\n",
            "[[ 1.2223855  -1.89386159]\n",
            " [ 1.07364046 -1.65198993]\n",
            " [ 1.17639358 -1.67553645]\n",
            " [ 1.43210711 -1.67536011]\n",
            " [ 1.01439839 -1.68342048]\n",
            " [ 1.27125669 -2.32972595]\n",
            " [ 0.99219391 -1.67290685]\n",
            " [ 1.44975676 -1.84187993]\n",
            " [ 0.97948779 -2.09782058]\n",
            " [ 1.1990533  -1.95612287]\n",
            " [ 0.8393501  -1.77398634]\n",
            " [ 1.25623672 -1.79519984]\n",
            " [ 1.19497895 -2.30745371]\n",
            " [ 1.03231203 -1.54840938]\n",
            " [ 1.14367448 -2.32432597]\n",
            " [ 1.13855427 -1.52983506]\n",
            " [ 0.93269242 -1.59057628]\n",
            " [ 0.81832187 -2.00630454]\n",
            " [ 1.02250249 -1.70916662]\n",
            " [ 1.06563542 -1.74428108]\n",
            " [ 1.26387367 -2.30382966]\n",
            " [ 1.46217325 -2.0654154 ]\n",
            " [ 0.99203175 -2.26839023]\n",
            " [ 1.14210484 -1.72795954]\n",
            " [ 1.11879889 -2.11648396]\n",
            " [ 1.32447606 -2.14498853]\n",
            " [ 0.9839047  -1.53622207]\n",
            " [ 1.42686344 -1.95718074]\n",
            " [ 1.27491395 -2.15607047]\n",
            " [ 1.19047729 -1.97805058]\n",
            " [ 0.95866301 -2.10638105]\n",
            " [ 1.23467555 -2.21337643]\n",
            " [ 1.1590816  -1.62005321]\n",
            " [ 1.23754367 -1.99821077]\n",
            " [ 1.515458   -2.10028129]\n",
            " [ 1.36418532 -1.65096324]\n",
            " [ 0.85418095 -2.01382401]\n",
            " [ 0.80403088 -1.91702595]\n",
            " [ 0.98353464 -1.94974728]\n",
            " [ 1.059143   -2.25188707]\n",
            " [ 1.5563639  -2.27878943]\n",
            " [ 0.94537106 -2.30448608]\n",
            " [ 1.49578849 -2.31435556]\n",
            " [ 1.57849298 -2.19632572]\n",
            " [ 1.5815445  -2.18463597]\n",
            " [ 0.93971868 -1.53077532]\n",
            " [ 0.63946614 -1.97805894]\n",
            " [ 0.90400388 -1.54328395]\n",
            " [ 0.56272662 -1.92309843]\n",
            " [ 0.73342209 -1.61467043]\n",
            " [ 0.76639509 -2.16513626]\n",
            " [ 0.93767998 -2.32581187]\n",
            " [ 1.68715994 -2.00016771]\n",
            " [ 1.6451997  -2.21919204]\n",
            " [ 0.83027461 -2.45383401]\n",
            " [ 1.30312476 -2.49487452]\n",
            " [ 0.52243108 -2.03429205]\n",
            " [ 0.6288078  -2.45594314]\n",
            " [ 0.61651576 -2.41777882]\n",
            " [ 0.57474045 -2.31499504]\n",
            " [ 0.74546898 -2.47484995]\n",
            " [ 0.34525534 -2.06909056]\n",
            " [ 1.66898    -1.69792787]\n",
            " [ 1.21938557 -2.62398954]\n",
            " [ 1.49293525 -2.54988232]\n",
            " [ 1.19380157 -2.61445519]\n",
            " [ 1.26797631 -2.65751001]\n",
            " [ 1.83422839 -2.07020706]\n",
            " [ 1.09351088 -1.30457571]\n",
            " [ 1.6883543  -2.51371615]\n",
            " [ 1.47419288 -2.76525744]\n",
            " [ 1.27225633 -2.84139252]\n",
            " [ 1.75664954 -2.51105733]\n",
            " [ 1.24267835 -2.87571984]\n",
            " [ 1.74108867 -1.36599691]\n",
            " [ 1.54467973 -2.86789891]\n",
            " [ 0.30371457 -2.27389245]\n",
            " [ 2.02215153 -1.77225997]\n",
            " [ 2.10555107 -2.12379693]\n",
            " [ 2.06890577 -1.89024357]\n",
            " [ 0.06693777 -1.83819739]\n",
            " [ 0.66205734 -1.1720118 ]\n",
            " [ 0.51238587 -1.23965275]\n",
            " [ 0.04097547 -2.16527334]\n",
            " [ 1.3008047  -0.9137732 ]\n",
            " [ 1.27119209 -0.9742183 ]\n",
            " [ 1.47604163 -0.87899183]\n",
            " [ 0.41394393 -0.94395595]\n",
            " [ 2.28514032 -2.63208026]\n",
            " [ 2.48523157 -2.26842893]\n",
            " [ 1.03902682 -0.66387773]\n",
            " [-0.20674406 -2.54262131]\n",
            " [ 2.42122691 -3.00880116]]\n",
            "------------------------------------------\n",
            "Size, X mean +/- stddev, Y mean +/- stddev\n",
            "82 7.962504962206536 0.5600926954076298 5.065457394860387 0.5558980310685417\n",
            "Members:\n",
            "[[7.75421606 4.63168504]\n",
            " [8.24717844 4.07760236]\n",
            " [7.77277899 5.24754104]\n",
            " [7.55697614 5.30532216]\n",
            " [8.099159   5.60642497]\n",
            " [7.69120019 5.04912327]\n",
            " [7.96202711 4.94063122]\n",
            " [7.5620698  4.84028706]\n",
            " [8.37977232 4.58478942]\n",
            " [7.94230032 5.34517238]\n",
            " [8.00940151 4.76494909]\n",
            " [7.7683917  5.04735851]\n",
            " [7.81854873 5.21171621]\n",
            " [7.54951617 5.39529755]\n",
            " [7.44029002 5.43518104]\n",
            " [7.73962755 5.26159787]\n",
            " [7.8746998  5.88367442]\n",
            " [7.79471102 4.58922472]\n",
            " [7.39328088 4.99029528]\n",
            " [7.85814925 5.10368015]\n",
            " [7.69464757 5.51440391]\n",
            " [7.81163782 4.45218477]\n",
            " [7.53363853 5.54820533]\n",
            " [7.67073286 5.30457401]\n",
            " [8.25559104 5.56617361]\n",
            " [7.73755485 5.19179445]\n",
            " [7.70848342 5.61242688]\n",
            " [7.77053826 4.73753961]\n",
            " [7.65748608 4.67473876]\n",
            " [7.48847388 4.70805274]\n",
            " [7.28438182 5.04183531]\n",
            " [8.33848462 4.89912247]\n",
            " [7.5797271  5.36947759]\n",
            " [8.01197477 4.74329678]\n",
            " [8.24709021 4.61937615]\n",
            " [8.32022414 5.17761232]\n",
            " [7.87049815 5.39863987]\n",
            " [8.46055884 4.94364635]\n",
            " [8.24736024 5.60478119]\n",
            " [8.46704525 5.01936752]\n",
            " [7.57394917 5.61117135]\n",
            " [8.42581004 4.93494635]\n",
            " [7.9364723  4.90389716]\n",
            " [8.20114115 5.6752867 ]\n",
            " [7.7892187  5.79863877]\n",
            " [8.09304122 4.36244658]\n",
            " [8.28230377 4.38935998]\n",
            " [8.47704981 4.72150656]\n",
            " [8.46736137 4.77377453]\n",
            " [8.62818321 4.97277678]\n",
            " [8.36938196 4.60432966]\n",
            " [7.36454866 5.73948396]\n",
            " [8.24656033 5.96691386]\n",
            " [7.89100421 6.02230848]\n",
            " [8.57236701 5.33329723]\n",
            " [7.05824886 5.03128646]\n",
            " [7.15716823 4.7546777 ]\n",
            " [7.03823992 5.39150639]\n",
            " [8.79029624 4.70440423]\n",
            " [8.96412821 4.96677926]\n",
            " [8.92773746 5.10783002]\n",
            " [8.60194508 4.50615445]\n",
            " [8.56968029 4.49694967]\n",
            " [8.80016371 5.32451072]\n",
            " [6.97402748 5.50424167]\n",
            " [7.84568669 6.12631231]\n",
            " [9.00491623 5.30912522]\n",
            " [8.66189879 5.61109504]\n",
            " [6.93559793 5.19306911]\n",
            " [7.21864342 5.96835154]\n",
            " [9.12536397 5.02925361]\n",
            " [7.13506048 4.54614176]\n",
            " [7.98062819 6.156026  ]\n",
            " [8.4430223  5.98028901]\n",
            " [8.65607897 5.93364468]\n",
            " [6.82652264 4.54529779]\n",
            " [9.17093666 4.56974531]\n",
            " [8.16994313 3.85293323]\n",
            " [8.28967937 3.77469725]\n",
            " [6.9307879  4.23191269]\n",
            " [8.28211744 3.47594311]\n",
            " [6.67806996 4.0263868 ]]\n",
            "------------------------------------------\n",
            "Size, X mean +/- stddev, Y mean +/- stddev\n",
            "64 -5.059822760844722 0.24826634265975212 6.007696657054657 0.23156526914058176\n",
            "Members:\n",
            "[[-5.36541463  5.62434654]\n",
            " [-4.99151299  5.78696443]\n",
            " [-5.02587013  5.96721475]\n",
            " [-4.88077912  5.86916028]\n",
            " [-5.04002441  5.85843087]\n",
            " [-5.26574721  6.05447313]\n",
            " [-5.26855705  5.98232523]\n",
            " [-5.01993565  6.20144102]\n",
            " [-5.22246597  6.03562863]\n",
            " [-4.68639445  6.0486753 ]\n",
            " [-5.05924701  6.24759583]\n",
            " [-5.14902502  5.82741222]\n",
            " [-5.20721441  6.08985533]\n",
            " [-4.83017899  6.09228033]\n",
            " [-4.90814882  5.98647775]\n",
            " [-5.04607696  6.00942624]\n",
            " [-4.60475241  5.82384844]\n",
            " [-4.89387014  5.89164842]\n",
            " [-5.12155768  6.24230427]\n",
            " [-4.93782969  6.15429578]\n",
            " [-4.93391004  6.05176586]\n",
            " [-4.91597555  6.33054802]\n",
            " [-4.73411     6.29486904]\n",
            " [-4.95905669  6.20661111]\n",
            " [-5.01380147  6.05331385]\n",
            " [-4.90713358  6.13044942]\n",
            " [-4.98328037  6.07564725]\n",
            " [-4.87726605  5.94465396]\n",
            " [-4.96832047  6.38849102]\n",
            " [-5.13282678  6.22097191]\n",
            " [-4.66305795  6.11702103]\n",
            " [-4.97276333  6.1461584 ]\n",
            " [-4.93782018  6.27368709]\n",
            " [-4.92804725  6.29992779]\n",
            " [-5.05034003  6.08490169]\n",
            " [-5.23008256  6.13571598]\n",
            " [-5.20526568  5.80952336]\n",
            " [-5.30158665  6.13212987]\n",
            " [-5.18638907  5.91517277]\n",
            " [-4.75442649  6.02574953]\n",
            " [-5.31986921  6.19105924]\n",
            " [-5.17796709  6.16104888]\n",
            " [-5.12533987  6.03147784]\n",
            " [-4.97970577  6.25987637]\n",
            " [-4.91594968  6.16726872]\n",
            " [-4.66646549  6.02262387]\n",
            " [-4.60435046  5.99928026]\n",
            " [-4.89477968  5.6872684 ]\n",
            " [-4.73886375  5.72887904]\n",
            " [-4.77474018  5.66259619]\n",
            " [-4.82337448  6.48884415]\n",
            " [-5.46895725  5.89968314]\n",
            " [-5.46513952  5.89861051]\n",
            " [-5.48225396  5.79905181]\n",
            " [-5.01869341  5.58901616]\n",
            " [-5.38163816  5.65451026]\n",
            " [-5.41735101  5.80471961]\n",
            " [-5.40211291  5.73775123]\n",
            " [-5.3140693   6.44267226]\n",
            " [-5.51393779  5.72814567]\n",
            " [-5.61884174  6.15514896]\n",
            " [-5.62928456  6.14774145]\n",
            " [-4.85081373  5.43968998]\n",
            " [-5.06409474  5.36450828]]\n",
            "------------------------------------------\n",
            "Size, X mean +/- stddev, Y mean +/- stddev\n",
            "59 -4.723815209518961 0.5246280399005796 2.1927879728417032 0.7657242493109964\n",
            "Members:\n",
            "[[-5.83373136  3.87243819]\n",
            " [-4.95621513  2.96452895]\n",
            " [-4.73149924  2.04880908]\n",
            " [-5.07820545  1.68334391]\n",
            " [-4.67208563  2.66660429]\n",
            " [-4.46724739  2.39469757]\n",
            " [-5.31156823  2.07904429]\n",
            " [-5.54797633  2.15141875]\n",
            " [-4.36812478  1.98328457]\n",
            " [-4.98290532  2.62926436]\n",
            " [-3.8904725   1.83137489]\n",
            " [-4.30502551  2.23721901]\n",
            " [-4.99261183  1.46178519]\n",
            " [-4.69341824  1.96469132]\n",
            " [-4.3717278   1.93211439]\n",
            " [-5.20808784  1.40203632]\n",
            " [-4.67996121  1.23328628]\n",
            " [-4.81939572  1.85758826]\n",
            " [-4.73835383  2.38522463]\n",
            " [-4.59607677  2.14075656]\n",
            " [-4.41477456  1.53532933]\n",
            " [-3.79853499  2.63704124]\n",
            " [-5.15426669  2.34654223]\n",
            " [-4.60934009  3.02843097]\n",
            " [-4.54660587  1.4659824 ]\n",
            " [-5.00491928  2.02122373]\n",
            " [-4.55476885  1.29330596]\n",
            " [-4.87673963  2.75786422]\n",
            " [-4.7510354   1.92456564]\n",
            " [-4.40989065  2.50842281]\n",
            " [-4.90290385  2.06918454]\n",
            " [-5.19378624  1.92356622]\n",
            " [-3.93075966  1.81186829]\n",
            " [-4.71513449  1.94581642]\n",
            " [-4.29479074  1.69041762]\n",
            " [-5.15975814  2.2940002 ]\n",
            " [-4.3221564   2.34914469]\n",
            " [-3.97202086  2.59099457]\n",
            " [-3.97195724  1.52860172]\n",
            " [-5.1914986   2.06362549]\n",
            " [-5.25962403  2.13263894]\n",
            " [-4.38946205  2.71106286]\n",
            " [-3.89001989  2.55425612]\n",
            " [-4.99280727  1.19753797]\n",
            " [-5.57469579  1.53089602]\n",
            " [-4.73057258  0.9837125 ]\n",
            " [-3.97951436  3.16537849]\n",
            " [-3.45523261  2.67832592]\n",
            " [-4.67574437  3.15431517]\n",
            " [-5.26225776  3.18508196]\n",
            " [-5.52568929  2.87758829]\n",
            " [-5.06401968  0.88875242]\n",
            " [-5.68278588  1.28100452]\n",
            " [-3.50797978  3.08483934]\n",
            " [-4.50228066  0.70633413]\n",
            " [-5.0678883   0.78258079]\n",
            " [-4.92715493  3.61847213]\n",
            " [-4.95577241  4.21872997]\n",
            " [-5.24126343  3.91754373]]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-7-16b737ffee41>:16: UserWarning: *c* argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with *x* & *y*.  Please use the *color* keyword-argument or provide a 2D array with a single row if you intend to specify the same RGB or RGBA value for all points.\n",
            "  plt.scatter(ordered_list[cluster][:,3], ordered_list[cluster][:,4], c=color, linewidth=0.2,\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "tzgiMnlJsdku"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}