Exclusive Partition of Selected Items in Fuzzy Co-clustering and Its Influences on Partition Quality

Abstract

Fuzzy Co-clustering based on multinomial mixture concept was demonstrated to be useful in cooccurrence information analysis among object-item relations, but lacks exclusive nature in item partitions. Then, partition quality may be improved by emphasizing mutual differences among co-clusters. In this research, the conventional fuzzy co-clustering model is extended by introducing a partition penalty for selected items, and its influences on partition quality is discussed through several numerical experiments.