Package elki.evaluation.clustering
Evaluation of clustering results.
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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.