Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
In k-Means-type clustering, clustering algorithms are often implemented with various parameter settings and the most plausible solution is selected supported by several validity indices. Xie-Beni index is a popular validity index in FCM clustering, which measures the plausibility level of fuzzy partitions con- sidering cluster compactness/separateness, and was modified for fuzzy co-clustering tasks. In this research, the applicability of the Xie-Beni-type co-cluster validity index is studied with several fuzzy co-clustering models such as cluster aggregation models (FCCM and Fuzzy CoDoK) and pseudo-cluster-center models (SCAD).
