diff --git a/README.md b/README.md index ad7f860..dbc1880 100644 --- a/README.md +++ b/README.md @@ -26,7 +26,9 @@ **pca** A Python Package for Principal Component Analysis. The core of PCA is build on sklearn functionality to find maximum compatibility when combining with other packages. -But this package can do a lot more. Besides the regular pca, it can also perform **SparsePCA**, and **TruncatedSVD**. Depending on your input data, the best approach will be choosen. +But this package can do a lot more. Besides the regular pca, it can also perform **SparsePCA**, and **TruncatedSVD**. Depending on your input data, the best approach will be chosen. +**⭐️ Star this repo if you like it ⭐️** + Other functionalities of PCA are: @@ -36,13 +38,14 @@ Other functionalities of PCA are: * Scatter plot with the **loadings** * Outlier detection using **Hotelling T2 and/or SPE/Dmodx** ---- -**⭐️ Star this repo if you like it ⭐️** +## Support ---- +Your ❤️ is important to keep maintaining my packages. You can support in various ways, have a look at the [sponser page](https://erdogant.github.io/pca/pages/html/Documentation.html). Report bugs, issues or help out with developing new features! If you don't have the time to help or are still learning, you can also take a [Medium Mebership using my referral link](https://erdogant.medium.com/) to keep reading all my hands-on blogs. If you also don't need that, there is always the coffee! Thank you! +Buy Me a Coffee at ko-fi.com -## Read the Medium blog for more details. + +### Read the Medium blog for more details. #### [1. What are PCA loadings and how to effectively use Biplots?](https://towardsdatascience.com/what-are-pca-loadings-and-biplots-9a7897f2e559) @@ -51,16 +54,12 @@ Other functionalities of PCA are: #### [3. Quantitative comparisons between t-SNE, UMAP, PCA, and Other Mappings.](https://towardsdatascience.com/the-similarity-between-t-sne-umap-pca-and-other-mappings-c6453b80f303) -# - - ---- ## [Documentation pages](https://erdogant.github.io/pca/) On the [documentation pages](https://erdogant.github.io/pca/) you can find detailed information about the working of the ``pca`` with many examples. ---- + ## Installation @@ -219,9 +218,3 @@ Please cite in your publications if this is useful for your research (see citati * Erdogan Taskesen, github: [erdogant](https://github.com/erdogant) --- - -## Support - -Your ❤️ is important to keep maintaining this package. You can [support](https://erdogant.github.io/pca/pages/html/Documentation.html) in various ways, have a look at the [sponser page](https://erdogant.github.io/pca/pages/html/Documentation.html). Report bugs, issues and feature extensions at [github page](https://github.com/erdogant/pca). - -Buy Me a Coffee at ko-fi.com