Variation of information
Measure of distance between two clusterings related to mutual information / From Wikipedia, the free encyclopedia
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In probability theory and information theory, the variation of information or shared information distance is a measure of the distance between two clusterings (partitions of elements). It is closely related to mutual information; indeed, it is a simple linear expression involving the mutual information. Unlike the mutual information, however, the variation of information is a true metric, in that it obeys the triangle inequality.[1][2][3]