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An efficient document clustering algorithm and its application to a document browser

✍ Scribed by Hideki Tanaka; Tadashi Kumano; Noriyoshi Uratani; Terumasa Ehara


Book ID
114237689
Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
356 KB
Volume
35
Category
Article
ISSN
0306-4573

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In this paper, a new algorithm fuzzy co-clustering with RuspiniΓ•s condition (FCR) is proposed for co-clustering documents and words. Compared to most existing fuzzy co-clustering algorithms, FCR is able to generate fuzzy word clusters that capture the natural distribution of words, which may be bene