sklearn.cluster (original) (raw)

Popular unsupervised clustering algorithms.

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) [R2af9f5762274-1].
SpectralClustering	Apply clustering to a projection of the normalized Laplacian.
SpectralCoclustering	Spectral Co-Clustering algorithm (Dhillon, 2001) [R0dd0f3306ba7-1].
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.