Package | Description |
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de.lmu.ifi.dbs.elki.evaluation.clustering |
Evaluation of clustering results.
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Class and Description |
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BCubed
BCubed measures.
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ClusterContingencyTable
Class storing the contingency table and related data on two clusterings.
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EditDistance
Edit distance measures
Pantel, P. and Lin, D.
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Entropy
Entropy based measures
References:
Meilă, M.
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EvaluateClustering
Evaluate a clustering result by comparing it to an existing cluster label.
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PairCounting
Pair-counting measures.
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SetMatchingPurity
Set matching purity measures
References:
Zhao, Y. and Karypis, G.
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