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  • 标题:Survey on Hierarchical Document Clustering Techniques Fihc & F2 Ihc
  • 本地全文:下载
  • 作者:Ms. Devika Deshmukh ; Mr. Sandip Kamble ; Mrs. Pranali Dandekar
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2013
  • 卷号:3
  • 期号:7
  • 出版社:S.S. Mishra
  • 摘要:Document clustering is an e.ective tool to manage information overload. By grouping similar documents together, we enable a human observer to quickly browse large document collections[18], make it possible to easily grasp the distinct topics and subtopics (concept hierarchies) in them, allow search engines to e.ciently query large document collections [16] among many other applications. Hence, it has been widely studied as a part of the broad literature of data clustering. One such survey of existing clustering literature can be found in Jain et. al[19s].
  • 关键词:Incremental Clustering; Hierarchical Clustering; Datasets; Fuzzy Frequent Item set; Literature review; ;datasets
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