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Fowlkes–Mallows index
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Fowlkes–Mallows index : ウィキペディア英語版
Fowlkes–Mallows index
Fowlkes–Mallows index is an external evaluation method that is used to determine the similarity between two clusterings (clusters obtained after a clustering algorithm). This measure of similarity could be either between two hierarchical clusterings or a clustering and a benchmark classification. A higher value for the Fowlkes–Mallows index indicates a greater similarity between the clusters and the benchmark classifications.
==Preliminaries==
The Fowlkes–Mallows index, when results of two clustering algorithms is used to evaluate the results, is defined as
:
FM = \sqrt \cdot \frac }

:where TP is the number of true positives, FP is the number of false positives, and FN is the number of false negatives.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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