Uses of Class
org.apache.commons.math3.stat.clustering.Cluster

Packages that use Cluster

Package	Description
org.apache.commons.math3.stat.clustering	All classes and sub-packages of this package are deprecated.

Uses of Cluster in org.apache.commons.math3.stat.clustering

Methods in org.apache.commons.math3.stat.clustering that return Cluster

Modifier and Type	Method	Description
private Cluster<T>	DBSCANClusterer.expandCluster(Cluster<T> cluster, T point, java.util.List<T> neighbors, java.util.Collection<T> points, java.util.Map<Clusterable<T>,DBSCANClusterer.PointStatus> visited)	Deprecated. Expands the cluster to include density-reachable items.

Methods in org.apache.commons.math3.stat.clustering that return types with arguments of type Cluster

Modifier and Type	Method	Description
private static <T extends Clusterable<T>> java.util.List<Cluster<T>>	KMeansPlusPlusClusterer.chooseInitialCenters(java.util.Collection<T> points, int k, java.util.Random random)	Deprecated. Use K-means++ to choose the initial centers.
java.util.List<Cluster<T>>	DBSCANClusterer.cluster(java.util.Collection<T> points)	Deprecated. Performs DBSCAN cluster analysis.
java.util.List<Cluster<T>>	KMeansPlusPlusClusterer.cluster(java.util.Collection<T> points, int k, int maxIterations)	Deprecated. Runs the K-means++ clustering algorithm.
java.util.List<Cluster<T>>	KMeansPlusPlusClusterer.cluster(java.util.Collection<T> points, int k, int numTrials, int maxIterationsPerTrial)	Deprecated. Runs the K-means++ clustering algorithm.

Methods in org.apache.commons.math3.stat.clustering with parameters of type Cluster

Modifier and Type	Method	Description
private Cluster<T>	DBSCANClusterer.expandCluster(Cluster<T> cluster, T point, java.util.List<T> neighbors, java.util.Collection<T> points, java.util.Map<Clusterable<T>,DBSCANClusterer.PointStatus> visited)	Deprecated. Expands the cluster to include density-reachable items.

Method parameters in org.apache.commons.math3.stat.clustering with type arguments of type Cluster

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