AffinityPropagation

Perform Affinity Propagation Clustering of data.

AgglomerativeClustering

Agglomerative Clustering.

Birch

Implements the BIRCH clustering algorithm.

BisectingKMeans

Bisecting K-Means clustering.

DBSCAN

Perform DBSCAN clustering from vector array or distance matrix.

FeatureAgglomeration

Agglomerate features.

HDBSCAN

Cluster data using hierarchical density-based clustering.

KMeans

K-Means clustering.

MeanShift

Mean shift clustering using a flat kernel.

MiniBatchKMeans

Mini-Batch K-Means clustering.

OPTICS

Estimate clustering structure from vector array.

SpectralBiclustering

Spectral biclustering (Kluger, 2003).

SpectralClustering

Apply clustering to a projection of the normalized Laplacian.

SpectralCoclustering

Spectral Co-Clustering algorithm (Dhillon, 2001).

affinity_propagation

Perform Affinity Propagation Clustering of data.

cluster_optics_dbscan

Perform DBSCAN extraction for an arbitrary epsilon.

cluster_optics_xi

Automatically extract clusters according to the Xi-steep method.

compute_optics_graph

Compute the OPTICS reachability graph.

dbscan

Perform DBSCAN clustering from vector array or distance matrix.

estimate_bandwidth

Estimate the bandwidth to use with the mean-shift algorithm.

k_means

Perform K-means clustering algorithm.

kmeans_plusplus

Init n_clusters seeds according to k-means++.

mean_shift

Perform mean shift clustering of data using a flat kernel.

spectral_clustering

Apply clustering to a projection of the normalized Laplacian.

ward_tree

Ward clustering based on a Feature matrix.