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  • 标题:A Survey of Clustering Algorithms in Association Rules Mining
  • 本地全文:下载
  • 作者:Wael Ahmad AlZoubi
  • 期刊名称:International Journal of Computer Science & Information Technology (IJCSIT)
  • 印刷版ISSN:0975-4660
  • 电子版ISSN:0975-3826
  • 出版年度:2019
  • 卷号:11
  • 期号:2
  • 页码:1-9
  • DOI:10.5121/ijcsit.2019.11202
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:The main goal of cluster analysis is to classify elements into groupsbased on their similarity. Clustering has many applications such as astronomy, bioinformatics, bibliography, and pattern recognition. In this paper, a survey of clustering methods and techniques and identification of advantages and disadvantages of these methods are presented to give a solid background to choose the best method to extract strong association rules..
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