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 java.util.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 java.util.List<CentroidCluster<T>>`	KMeansPlusPlusClusterer.`chooseInitialCenters(java.util.Collection<T> points)`	Use K-means++ to choose the initial centers.
`java.util.List<CentroidCluster<T>>`	FuzzyKMeansClusterer.`cluster(java.util.Collection<T> dataPoints)`	Performs Fuzzy K-Means cluster analysis.
`java.util.List<CentroidCluster<T>>`	KMeansPlusPlusClusterer.`cluster(java.util.Collection<T> points)`	Runs the K-means++ clustering algorithm.
`java.util.List<CentroidCluster<T>>`	MultiKMeansPlusPlusClusterer.`cluster(java.util.Collection<T> points)`	Runs the K-means++ clustering algorithm.
`java.util.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(java.util.List<CentroidCluster<T>> clusters, java.util.Collection<T> points, int[] assignments)`	Adds the given points to the closest `Cluster`.
`private T`	KMeansPlusPlusClusterer.`getFarthestPoint(java.util.Collection<CentroidCluster<T>> clusters)`	Get the point farthest to its cluster center
`private int`	KMeansPlusPlusClusterer.`getNearestCluster(java.util.Collection<CentroidCluster<T>> clusters, T point)`	Returns the nearest `Cluster` to the given point
`private T`	KMeansPlusPlusClusterer.`getPointFromLargestVarianceCluster(java.util.Collection<CentroidCluster<T>> clusters)`	Get a random point from the `Cluster` with the largest distance variance.