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  • 标题:New Heuristic Algorithms of Possibilistic Clustering Based on Transitive Opening of Fuzzy Tolerance
  • 本地全文:下载
  • 作者:Dmitri A. Viattchenin ; Reyhane Tati
  • 期刊名称:International Journal of Computer Science Research and Application
  • 印刷版ISSN:2012-9564
  • 电子版ISSN:2012-9572
  • 出版年度:2013
  • 卷号:3
  • 期号:3
  • 出版社:INREWI Publications
  • 摘要:This paper deals with the problem of a heuristic approach to possibilisticclustering. The approach is based on the concept of allotment among fuzzy clusters. The paper provides the description of basic ideas of the heuristic approach to possibilistic clustering. A plan of the basic version of direct prototype-based heuristic algorithms of possibilistic clustering based on a transitive opening of a fuzzy tolerance is described in detail. An illustrative example of application of the basic version of the algorithms to Sneath and Sokal's artificial data set is considered. Preliminary conclusions are formulated and perspectives are outlined
  • 关键词:Possibilistic Clustering; Fuzzy Tolerance; Transitive Opening; Allotment among Fuzzy Clusters
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