License: MIT License
Algorithm from scratch k means clustering
Algorithm from scratch of Hierarchical clustering
Calculates the silhoutte of both and comapres each
Outliers makes random points and removes outliers. Which than can be used to compare both k means and hierarchical clustering. You can change the number of clusters from the variable num_cluster and can also change number of iterations for k means with num_i
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