| 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.
|
| 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.
|