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

Clustering algorithms

See: Description

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
--- | ---
DBSCANClusterer.PointStatus | Status of a point during the clustering process.
KMeansPlusPlusClusterer.EmptyClusterStrategy | Strategies to use for replacing an empty cluster.

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

Clustering algorithms