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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)
In this paper, we propose a new method to specify the sequence of parameter values for a fuzzy clustering algorithm by using Q-learning. In the clustering algorithm, we employ similarities between two data points and distances from data to cluster centers as the fuzzy clustering criteria. The fuzzy clustering is achieved by optimizing an objective function(More)
FCCM based on K-L information regularization is an FCM-type co-clustering model, which is a fuzzy counterpart of the probabilistic Multinomial Mixture Models (MMMs). In MMMs and other FCM-type co-clustering models, whose goal is to simultaneously partition objects and items considering their mutual cooccurrence information, memberships of objects are forced(More)
Collaborative Filtering achieves personalized recommendation considering similarities among user preferences and the task has close connections with co-clustering of user-item relational data. 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(More)
Agent-based simulation is a promising approach to social system analysis. This paper considers a fuzzy model-based virtual theme park simulator, in which each agent has a unique preference and acts with its own rule defined by a fuzzy model. Each agent model is designed to imitate a human subject whose responses to a questionnaire are used in defining the(More)
Agent-based simulation is a useful approach to behavior analysis in a social system. This paper considers a fuzzy model-based virtual theme park simulator, in which each agent has a unique preference and acts in accordance with its own rules, as defined by a fuzzy model. In the behavior analysis, the effect of user preference variety is analyzed with(More)