Chi-Hyon Oh

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The task of collaborative filtering has close relation to coclustering, in which personalized recommendation is achieved by connecting users with items to be preferred. FCM-type coclustering 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 be(More)
Fuzzy co-clustering is a basic technique for revealing intrinsic co-cluster structures from cooccurrence information among objects and items. In most of fuzzy co-clustering algorithms, objects and items are partitioned based on different constraints. Objects are forced to be exclusively partitioned like as Fuzzy c-Means (FCM), while item memberships often(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)
Fuzzy c-varieties (FCV) is one of the clustering algorithms in which the prototypes are multi-dimensional linear varieties. The linear varieties are represented by some local principal component vectors and the FCV clustering algorithm can be regarded as a simultaneous algorithm of fuzzy clustering and principal component analysis. However, obtained(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)
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)