Package fr.cnes.sirius.patrius.math.stat.clustering

Interface Summary

Interface	Description
Clusterable<T>	Interface for points that can be clustered together.

Class Summary

Class	Description
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

Enum	Description
KMeansPlusPlusClusterer.EmptyClusterStrategy	Strategies to use for replacing an empty cluster.