Package org.apache.commons.math3.ml.clustering

• Interface Summary 

  Interface	Description
  Clusterable	Interface for n-dimensional points that can be clustered together.

• Class Summary 

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

• Enum Summary 

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

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