Objective function-based rough membership C-means clustering von Ubukata, Seiki, Notsu, Akira, Honda, Katsuhiro

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Online state space generation by a growing self-organizing map and differential learning for reinforcement learning von Notsu, Akira, Yasuda, Koji, Ubukata, Seiki, Honda, Katsuhiro

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Fuzzy Co-Clustering Induced by Multinomial Mixture Models von Honda, Katsuhiro, Oshio, Shunnya, Notsu, Akira

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Deterministic annealing process for pLSA-induced fuzzy co-clustering and cluster splitting characteristics von Goshima, Takafumi, Honda, Katsuhiro, Ubukata, Seiki, Notsu, Akira

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Noise Rejection Approaches for Various Rough Set-Based C -Means Clustering von Ubukata, Seiki, Sekiya, Sho, Notsu, Akira, Honda, Katsuhiro

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Three-Mode Fuzzy Co-Clustering Based on Probabilistic Concept and Comparison with FCM-Type Algorithms von Honda, Katsuhiro, Hayashi, Issei, Ubukata, Seiki, Notsu, Akira

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Rough Set-Based Clustering Utilizing Probabilistic Memberships von Ubukata, Seiki, Kato, Hiroki, Notsu, Akira, Honda, Katsuhiro

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Basic Consideration of Co-Clustering Based on Rough Set Theory von Ubukata, Seiki, Nodake, Narihira, Notsu, Akira, Honda, Katsuhiro

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Designation of Candidate Solutions in Differential Evolution Based on Bandit Algorithm and its Evaluation von Sakakibara, Masaya, Notsu, Akira, Ubukata, Seiki, Honda, Katsuhiro

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Noise Rejection in MMMs-Induced Fuzzy Co-Clustering von Honda, Katsuhiro, Yamamoto, Nami, Ubukata, Seiki, Notsu, Akira

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Characteristics of Rough Set C -Means Clustering von Ubukata, Seiki, Umado, Keisuke, Notsu, Akira, Honda, Katsuhiro

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A Heuristic-Based Model for MMMs-Induced Fuzzy Co-Clustering with Dual Exclusive Partition von Honda, Katsuhiro, Hakui, Yoshiki, Ubukata, Seiki, Notsu, Akira

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MMMs-Induced Possibilistic Fuzzy Co-Clustering and its Characteristics von Ubukata, Seiki, Koike, Katsuya, Notsu, Akira, Honda, Katsuhiro

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Visual Co-Cluster Assessment with Intuitive Cluster Validation Through Cooccurrence-Sensitive Ordering von Honda, Katsuhiro, Sako, Takuya, Ubukata, Seiki, Notsu, Akira

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Visualization of Learning Process in “State and Action” Space Using Self-Organizing Maps von Notsu, Akira, Hattori, Yuichi, Ubukata, Seiki, Honda, Katsuhiro

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FCM-Type Fuzzy Coclustering for Three-Mode Cooccurrence Data: 3FCCM and 3Fuzzy CoDoK von Notsu, Akira, Ubukata, Seiki, Suzuki, Yurina, Honda, Katsuhiro

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A Collaborative Framework for Privacy Preserving Fuzzy Co-Clustering of Vertically Distributed Cooccurrence Matrices von Notsu, Akira, Tanaka, Daiji, Oda, Toshiya, Honda, Katsuhiro

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A Semi-Supervised Framework for MMMs-Induced Fuzzy Co-Clustering with Virtual Samples von Notsu, Akira, Ubukata, Seiki, Honda, Katsuhiro, Tanaka, Daiji

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A Greedy Algorithm for k-Member Co-clustering and its Applicability to Collaborative Filtering von Kawano, Arina, Honda, Katsuhiro, Kasugai, Hirohide, Notsu, Akira

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Intergration of Information based on the Similarity in AHP von Notsu, Akira, Kawakami, Hirokazu, Tezuka, Yuki, Honda, Katsuhiro

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