A fuzzy modeling approach to cluster validity

Authors:
Hoel Le Capitaine;Carl Frélicot
Affiliations:
MIA Laboratory, University of La Rochelle, France;MIA Laboratory, University of La Rochelle, France
Venue:
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Year:
2009

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Abstract

This paper presents a new approach to find the optimal number of clusters of a fuzzy partition. It is based on a fuzzy modeling approach which combines measures of clusters' separation and overlap. Theses measures are based on triangular norms and a discrete Sugeno integral. Results on artificial and real data sets prove its efficiency compared to indexes from the literature.