Uses of Interface
jsat.clustering.evaluation.ClusterEvaluation

Packages that use ClusterEvaluation

Package	Description
jsat.clustering.evaluation
jsat.clustering.hierarchical

Uses of ClusterEvaluation in jsat.clustering.evaluation

Classes in jsat.clustering.evaluation that implement ClusterEvaluation

Modifier and Type	Class and Description
class	AdjustedRandIndex Adjusted Rand Index (ARI) is a measure to evaluate a cluster based on the true class labels for the data set.
class	ClusterEvaluationBase Base implementation for one of the methods in ClusterEvaluation to make life easier.
class	DaviesBouldinIndex A measure for evaluating the quality of a clustering by measuring the distances of points to their centroids.
class	DunnIndex Computes the Dunn Index (DI) using a customizable manner.
class	IntraClusterSumEvaluation Evaluates a cluster based on the sum of scores for some IntraClusterEvaluation applied to each cluster.
class	NormalizedMutualInformation Normalized Mutual Information (NMI) is a measure to evaluate a cluster based on the true class labels for the data set.

Methods in jsat.clustering.evaluation that return ClusterEvaluation

Modifier and Type	Method and Description
abstract ClusterEvaluation	ClusterEvaluationBase.clone()
ClusterEvaluation	ClusterEvaluation.clone()
ClusterEvaluation	AdjustedRandIndex.clone()

Uses of ClusterEvaluation in jsat.clustering.hierarchical

Constructors in jsat.clustering.hierarchical with parameters of type ClusterEvaluation

Constructor and Description
DivisiveGlobalClusterer(KClusterer baseClusterer, ClusterEvaluation clusterEvaluation)
DivisiveLocalClusterer(KClusterer baseClusterer, ClusterEvaluation clusterEvaluation)