Apache Commons Math 3.6.1 · org.apache.commons.math3.ml.clustering

Modifier and Type	Interface and Description
public interface	Clusterable Interface for n-dimensional points that can be clustered together.

Class Summary

Modifier and Type	Class and Description
public class	CentroidCluster< the type of points that can be clustered T extends Clusterable> A Cluster used by centroid-based clustering algorithms.
public class	Cluster< the type of points that can be clustered T extends Clusterable> Cluster holding a set of `Clusterable` points.
public abstract class	Clusterer< the type of points that can be clustered T extends Clusterable> Base class for clustering algorithms.
public class	DBSCANClusterer< type of the points to cluster T extends Clusterable> DBSCAN (density-based spatial clustering of applications with noise) algorithm.
public class	DoublePoint A simple implementation of `Clusterable` for points with double coordinates.
public class	FuzzyKMeansClusterer< type of the points to cluster T extends Clusterable> Fuzzy K-Means clustering algorithm.
public class	KMeansPlusPlusClusterer< type of the points to cluster T extends Clusterable> Clustering algorithm based on David Arthur and Sergei Vassilvitski k-means++ algorithm.
public class	MultiKMeansPlusPlusClusterer< type of the points to cluster T extends Clusterable> A wrapper around a k-means++ clustering algorithm which performs multiple trials and returns the best solution.