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kMeans++

Run a k-means statistical simulation on your data to determine clustering characteristics.

Calculations and visualizations closely follow the discussion presented here.

For best results, data should be normalized into a vector space with each dimension ∈ [ 0, 1 ] or [ -1, 1 ].

Data outside of this range will not be displayed in the visualizations.

The first row of the CSV is assumed to be header data.

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k-means clustering and gap statistic visualization

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