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文章基本信息

  • 标题:Identifying Groups: A Comparison of Methodologies
  • 本地全文:下载
  • 作者:Abdolreza Eshghi ; Dominique Haughton ; Pascal Legrand
  • 期刊名称:Journal of Data Science
  • 印刷版ISSN:1680-743X
  • 电子版ISSN:1683-8602
  • 出版年度:2011
  • 卷号:9
  • 期号:2
  • 出版社:Tingmao Publish Company
  • 摘要:

    This paper describes and compares three clustering techniques:
    traditional clustering methods, Kohonen maps and latent class models. The
    paper also proposes some novel measures of the quality of a clustering. To
    the best of our knowledge, this is the rst contribution in the literature to
    compare these three techniques in a context where the classes are not known
    in advance.

  • 关键词:Cluster analysis; Kohonen maps; latent class analysis; self-
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