Deterministic Annealing in Fuzzy Co-clustering with Regularization by K-L Information

Abstract

Although the FCM clustering algorithms based on entropy or K-L information regularization approaches are often identified with statistical clustering model based on Gaussian mixture models, they have an advantage of achieving hierarchical clustering supported by deterministic annealing scheme. In this research, the applicability of deterministic annealing scheme is discussed in the fuzzy co-clustering context, in which a multi-nomial mixture models was enhanced to an FCM-type co-clustering model with K-L information regularization.