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

Packages that use Cluster

Package	Description
org.apache.commons.math3.ml.clustering	Clustering algorithms.
org.apache.commons.math3.ml.clustering.evaluation	Cluster evaluation methods.

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

Subclasses of Cluster in org.apache.commons.math3.ml.clustering

Modifier and Type	Class	Description
class	CentroidCluster<T extends Clusterable>	A Cluster used by centroid-based clustering algorithms.

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

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

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

Modifier and Type	Method	Description
abstract List<? extends Cluster<T>>	Clusterer.cluster(Collection<T> points)	Perform a cluster analysis on the given set of Clusterable instances.
List<Cluster<T>>	DBSCANClusterer.cluster(Collection<T> points)	Performs DBSCAN cluster analysis.

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

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

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

Modifier and Type	Method	Description
private T	KMeansPlusPlusClusterer.getPointFromLargestNumberCluster(Collection<? extends Cluster<T>> clusters)	Get a random point from the Cluster with the largest number of points

Uses of Cluster in org.apache.commons.math3.ml.clustering.evaluation

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

Modifier and Type	Method	Description
protected Clusterable	ClusterEvaluator.centroidOf(Cluster<T> cluster)	Computes the centroid for a cluster.

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

Modifier and Type	Method	Description
abstract double	ClusterEvaluator.score(List<? extends Cluster<T>> clusters)	Computes the evaluation score for the given list of clusters.
double	SumOfClusterVariances.score(List<? extends Cluster<T>> clusters)	Computes the evaluation score for the given list of clusters.