Journal
PSYCHOMETRIKA
Volume 66, Issue 2, Pages 229-247Publisher
SPRINGER
DOI: 10.1007/BF02294837
Keywords
classification; cluster analysis; consensus fuzzy partition; membership function; three-way data
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available