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  • 标题:VALIDITY MEASURES FOR HEURISTIC POSSIBILISTIC CLUSTERING
  • 本地全文:下载
  • 作者:Dmitri A. Viattchenin
  • 期刊名称:Public Policy And Administration
  • 印刷版ISSN:2029-2872
  • 出版年度:2015
  • 卷号:39
  • 期号:4
  • DOI:10.5755/j01.itc.39.4.12390
  • 语种:English
  • 出版社:Kaunas University of Technology
  • 摘要:A direct algorithm of possibilistic clustering is the effective tool for the data analysis. The approach is based on the concept of allotment among fuzzy clusters. To establish the number of clusters in a data set, some validity measures are presented in this paper. Illustrative examples of application of proposed validity measures to some wellknown data sets are given in comparison with a well-known cluster validity index for objective function-based fuzzy clustering algorithms. Preliminary conclusions are formulated.
  • 关键词:clustering;fuzzy cluster;membership degree;allotment;index of fuzziness;density of fuzzy cluster;cluster validity.
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