Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
Fuzzy c -Means (FCM) has been applied to very large data sets composed of a huge number of objects based on several sequential sampling approaches. In this research, the sequential sampling approaches are applied to an FCM-type co-clustering model of FCCM, and its applicability to very large cooccurrence relational data composed of a huge number of objects such as user-item purchase history data is demonstrated by revealing the intrinsic co-cluster structures among objects and items.
