AP-アルゴリズムによる正則化項を用いた半教師付きクラスタリングについて  [in Japanese] On Semi-supervised Clustering with Assignment Prototype Term  [in Japanese]

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This paper proposes a new type of semi-supervised fuzzy c -means clustering with assignment prototype term. The assignment prototype term is based on the Windham's assignment prototype algorithm which handles pairwise constraints between objects in the proposed method. First, an optimization problem of the proposed method is formulated. Next, a new clustering algorithm is constructed based on the above discussions. Moreover, the effectiveness of the proposed method is shown through numerical experiments.


  • Proceedings of the Fuzzy System Symposium

    Proceedings of the Fuzzy System Symposium 30(0), 450-451, 2014

    Japan Society for Fuzzy Theory and Intelligent Informatics


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