Package org.apache.commons.math3.stat.clustering

Clustering algorithms

See:
Description

Interface Summary

Clusterable<T>

Interface for points that can be clustered together.

Class Summary

Cluster<T extends Clusterable<T>>	Cluster holding a set of Clusterable points.
DBSCANClusterer<T extends Clusterable<T>>	DBSCAN (density-based spatial clustering of applications with noise) algorithm.
EuclideanDoublePoint	A simple implementation of Clusterable for points with double coordinates.
EuclideanIntegerPoint	A simple implementation of Clusterable for points with integer coordinates.
KMeansPlusPlusClusterer<T extends Clusterable<T>>	Clustering algorithm based on David Arthur and Sergei Vassilvitski k-means++ algorithm.

Enum Summary

KMeansPlusPlusClusterer.EmptyClusterStrategy

Strategies to use for replacing an empty cluster.

Package org.apache.commons.math3.stat.clustering Description

Clustering algorithms