Uses of Class
org.apache.commons.math4.legacy.ml.clustering.Cluster

Packages that use Cluster

Package	Description
org.apache.commons.math4.legacy.ml.clustering	Clustering algorithms.
org.apache.commons.math4.legacy.ml.clustering.evaluation	Cluster evaluation methods.

Uses of Cluster in org.apache.commons.math4.legacy.ml.clustering

Subclasses of Cluster in org.apache.commons.math4.legacy.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.math4.legacy.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.

Method parameters in org.apache.commons.math4.legacy.ml.clustering with type arguments of type Cluster

Modifier and Type	Method	Description
double	ClusterRanking.compute(List<? extends Cluster<? extends Clusterable>> clusters)	Computes the rank (higher is better).
double	ClusterEvaluator.score(List<? extends Cluster<? extends Clusterable>> cList)

Uses of Cluster in org.apache.commons.math4.legacy.ml.clustering.evaluation

Method parameters in org.apache.commons.math4.legacy.ml.clustering.evaluation with type arguments of type Cluster

Modifier and Type	Method	Description
double	CalinskiHarabasz.score(List<? extends Cluster<? extends Clusterable>> clusters)
double	SumOfClusterVariances.score(List<? extends Cluster<? extends Clusterable>> clusters)