Yui Matsumoto

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The task of collaborative filtering has close relation to co-clustering, in which personalized recommendation is achieved by connecting users with items to be preferred. FCM-type co-clustering extracts user-item co-clusters, in which users are assigned to clusters in an exclusive manner while item partitions are not necessarily exclusive and each item can(More)
An FCM-type co-clustering model was proposed for handling cooccurrence matrices, in which co-clusters of objects and items are extracted using two different types of fuzzy memberships. Objects are partitioned into clusters in a similar concept with the conventional FCM, which uses the exclusive condition forcing each object to be exclusively assigned. On(More)
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