BCubed |
BCubed measures for cluster evaluation.
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ClusterContingencyTable |
Class storing the contingency table and related data on two clusterings.
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EditDistance |
Edit distance measures.
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Entropy |
Entropy based measures, implemented using natural logarithms.
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EvaluateClustering |
Evaluate a clustering result by comparing it to an existing cluster label.
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MaximumMatchingAccuracy |
Calculates the accuracy of a clustering based on the maximum set matching
found by the Hungarian algorithm.
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PairCounting |
Pair-counting measures, with support for "noise" clusters and self-pairing
support.
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PairSetsIndex |
The Pair Sets Index calculates an index based on the maximum matching of
relative cluster sizes by the Hungarian algorithm.
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SetMatchingPurity |
Set matching purity measures.
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