Package jsat.clustering.evaluation

Interface Summary

Interface	Description
ClusterEvaluation	Provides the contract for evaluating the quality of a hard assignment of clustering a dataset.

Class Summary

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