Clustering#
Examples concerning the sklearn.cluster
module.
A demo of K-Means clustering on the handwritten digits data
A demo of structured Ward hierarchical clustering on an image of coins
Adjustment for chance in clustering performance evaluation
Agglomerative clustering with and without structure
Bisecting K-Means and Regular K-Means Performance Comparison
Comparing different clustering algorithms on toy datasets
Comparing different hierarchical linkage methods on toy datasets
Comparison of the K-Means and MiniBatchKMeans clustering algorithms
Empirical evaluation of the impact of k-means initialization
Hierarchical clustering: structured vs unstructured ward
Selecting the number of clusters with silhouette analysis on KMeans clustering
Various Agglomerative Clustering on a 2D embedding of digits