sklearn.cluster

Popular unsupervised clustering algorithms.

User guide. See the Clustering and Biclustering sections for further details.

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.