Package elki.evaluation.clustering

Evaluation of clustering results.

Class Summary

Class	Description
BCubed	BCubed measures for cluster evaluation.
ClusterContingencyTable	Class storing the contingency table and related data on two clusterings.
EditDistance	Edit distance measures.
Entropy	Entropy based measures, implemented using natural logarithms.
EvaluateClustering	Evaluate a clustering result by comparing it to an existing cluster label.
EvaluateClustering.Par	Parameterization class.
EvaluateClustering.ScoreResult	Result object for outlier score judgements.
LogClusterSizes	This class will log simple statistics on the clusters detected, such as the cluster sizes and the number of clusters.
MaximumMatchingAccuracy	Calculates the accuracy of a clustering based on the maximum set matching found by the Hungarian algorithm.
PairCounting	Pair-counting measures, with support for "noise" clusters and self-pairing support.
PairSetsIndex	The Pair Sets Index calculates an index based on the maximum matching of relative cluster sizes by the Hungarian algorithm.
SetMatchingPurity	Set matching purity measures.