Demonstrates the effect of different metrics on the hierarchical clustering. The example is engineered to show the effect of the choice

This example aims at showing characteristics of different clustering algorithms on datasets that are ?interesting? but still in 2D

This example compares the timing of Birch (with and without the global clustering step) and MiniBatchKMeans on a synthetic dataset having 100,000 samples and

Evaluate the ability of k-means initializations strategies to make the algorithm convergence robust as measured by the relative