Uses of Class
org.apache.commons.math3.ml.clustering.CentroidCluster

Packages that use CentroidCluster

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

Uses of CentroidCluster in org.apache.commons.math3.ml.clustering

Fields in org.apache.commons.math3.ml.clustering with type parameters of type CentroidCluster

Modifier and Type	Field	Description
private List<CentroidCluster<T>>	FuzzyKMeansClusterer.clusters	The list of clusters resulting from the last call to FuzzyKMeansClusterer.cluster(Collection).

Methods in org.apache.commons.math3.ml.clustering that return types with arguments of type CentroidCluster

Modifier and Type	Method	Description
private List<CentroidCluster<T>>	KMeansPlusPlusClusterer.chooseInitialCenters(Collection<T> points)	Use K-means++ to choose the initial centers.
List<CentroidCluster<T>>	FuzzyKMeansClusterer.cluster(Collection<T> dataPoints)	Performs Fuzzy K-Means cluster analysis.
List<CentroidCluster<T>>	KMeansPlusPlusClusterer.cluster(Collection<T> points)	Runs the K-means++ clustering algorithm.
List<CentroidCluster<T>>	MultiKMeansPlusPlusClusterer.cluster(Collection<T> points)	Runs the K-means++ clustering algorithm.
List<CentroidCluster<T>>	FuzzyKMeansClusterer.getClusters()	Returns the list of clusters resulting from the last call to FuzzyKMeansClusterer.cluster(Collection).

Method parameters in org.apache.commons.math3.ml.clustering with type arguments of type CentroidCluster

Modifier and Type	Method	Description
private int	KMeansPlusPlusClusterer.assignPointsToClusters(List<CentroidCluster<T>> clusters, Collection<T> points, int[] assignments)	Adds the given points to the closest Cluster.
private T	KMeansPlusPlusClusterer.getFarthestPoint(Collection<CentroidCluster<T>> clusters)	Get the point farthest to its cluster center
private int	KMeansPlusPlusClusterer.getNearestCluster(Collection<CentroidCluster<T>> clusters, T point)	Returns the nearest Cluster to the given point
private T	KMeansPlusPlusClusterer.getPointFromLargestVarianceCluster(Collection<CentroidCluster<T>> clusters)	Get a random point from the Cluster with the largest distance variance.