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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 : :where is the number of true positives, is the number of false positives, and 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)』 ■ウィキペディアで「Fowlkes–Mallows index」の詳細全文を読む
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