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On seeking consensus between document similarity measures. (English) Zbl 1381.68245

Summary: This paper investigates the application of consensus clustering and meta-clustering to the set of all possible partitions of a data set. We show that when using a “complement” of Rand Index as a measure of cluster similarity, the total-separation partition, putting each element in a separate set, is chosen.

MSC:

68T05 Learning and adaptive systems in artificial intelligence
62H30 Classification and discrimination; cluster analysis (statistical aspects)
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