Package org.apache.commons.math.stat.clustering

package org.apache.commons.math.stat.clustering

Clustering algorithms

Related Packages

Package	Description
org.apache.commons.math.stat	Data storage, manipulation and summary routines.
org.apache.commons.math.stat.correlation	Correlations/Covariance computations.
org.apache.commons.math.stat.descriptive	Generic univariate summary statistic objects.
org.apache.commons.math.stat.inference	Classes providing hypothesis testing and confidence interval construction.
org.apache.commons.math.stat.ranking	Classes providing rank transformations.
org.apache.commons.math.stat.regression	Statistical routines involving multivariate data.

Class	Description
Cluster<T extends Clusterable<T>>	Cluster holding a set of Clusterable points.
Clusterable<T>	Interface for points that can be clustered together.
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.
KMeansPlusPlusClusterer.EmptyClusterStrategy	Strategies to use for replacing an empty cluster.