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  • 标题:Two Phase Implementation of MMMs-induced Fuzzy Co-clustering with Partially Exclusive Item Assignment
  • 本地全文:下载
  • 作者:Takaya Nakano ; Katsuhiro Honda ; Seiki Ubukata
  • 期刊名称:International Journal of Computer Science and Network Security
  • 印刷版ISSN:1738-7906
  • 出版年度:2017
  • 卷号:17
  • 期号:1
  • 页码:67-72
  • 出版社:International Journal of Computer Science and Network Security
  • 摘要:Fuzzy co-clustering is a basic tool for extracting pair-wise clusters of familiar objects and items from cooccurrence information. A promising improvement of the conventional fuzzy co-clustering algorithms is achieved by introducing exclusive nature to item partition with the goal of the improvement of interpretability of co-clusters. However, in practice, some items are quite popular and to be shared by multiple clusters, and only a selected part of items should be exclusively assigned to unique clusters. In this paper, a partially exclusive item partition model is introduced into multinomial mixture models-induced fuzzy co-clustering and a two phase implementation is proposed for determining the optimal set of items to be exclusively assigned. Its characteristic features are demonstrated through a numerical experiment with a real-world benchmark data set.
  • 关键词:Fuzzy clustering; Co-clustering; Multinomial mixture; Exclusive partition; Classification.
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