Set Matching Measures for External Cluster Validity.

Comparing two clustering results of a data set is a challenging task in cluster analysis. Many external validity measures have been proposed in the literature. A good measure should be invariant to the changes of data size, cluster size, and number of clusters. We give an overview of existing set matching indexes and analyze their properties. Set matching measures are based on matching clusters fr...