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文章基本信息

  • 标题:Graph- and multigrafh-theoretic partitioning clustering algorithms for large data sets
  • 作者:Gabriele Soffritti
  • 期刊名称:Statistica
  • 印刷版ISSN:1973-2201
  • 出版年度:1997
  • 卷号:57
  • 期号:1
  • DOI:10.6092/issn.1973-2201/1049
  • 语种:English
  • 出版社:Dep. of Statistical Sciences "Paolo Fortunati", Università di Bologna
  • 摘要:This work aims at introducing two clustering algorithms conceived to make the application of particular graph and multigraph theoretic clustering methods possible for large data sets. Results obtained by applying the suggested algorithms to simulated data sets are presented.
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