Package de.lmu.ifi.dbs.elki.evaluation.clustering

Evaluation of clustering results.

See: Description

Class Summary

Class	Description
BCubed	BCubed measures.
ClusterContingencyTable	Class storing the contingency table and related data on two clusterings.
ClusterContingencyTable.Util	Utility class.
EditDistance	Edit distance measures.
Entropy	Entropy based measures.
EvaluateClustering	Evaluate a clustering result by comparing it to an existing cluster label.
EvaluateClustering.Parameterizer	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.
PairCounting	Pair-counting measures.
SetMatchingPurity	Set matching purity measures.

Package de.lmu.ifi.dbs.elki.evaluation.clustering Description

Evaluation of clustering results.