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  • 标题:Fuzzy Association Rule Mining Algorithm to Generate Candidate Cluster: An Approach to Hierarchical Document Clustering
  • 本地全文:下载
  • 作者:Ashish Jaiswal ; Nitin J. Janwe
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2012
  • 卷号:9
  • 期号:2
  • 出版社:IJCSI Press
  • 摘要:As text documents are largely increasing in the internet, the process of grouping similar documents for versatile applications have put the eye of researchers in this area. However most clustering methods suffer from challenges in dealing with problems of high dimensionality, scalability, accuracy and meaningful cluster labels. Hierarchical clustering is a solution on that. Proper clustering set generation plays important role in hierarchical clustering. This paper shows the process of generation of candidate cluster set of given document set. Testing has been done on some predefined data set.
  • 关键词:Candidate Cluster; Document Clustering; Document Set; Hierarchical Document Clustering
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