期刊
PSYCHOMETRIKA
卷 66, 期 2, 页码 229-247出版社
SPRINGER
DOI: 10.1007/BF02294837
关键词
classification; cluster analysis; consensus fuzzy partition; membership function; three-way data
Methodology is described for fitting a fuzzy consensus partition to a set of partitions of the same set of objects. Three models defining median partitions are described: two of them are obtained from a least-squares fit of a set of membership functions. and the third (proposed by Pittau and Vichi) is acquired from a least-squares fit of a set of joint membership functions. The models are illustrated by application to both a set of hard partitions and a set of fuzzy partitions and comparisons are made between them and an alternative approach to obtaining a consensus fuzzy partition proposed by Sate and Sate; a discussion is given of some interesting differences in the results.
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