Clustering of document collection - A weighting approach

Authors:
Ramiz M. Aliguliyev
Affiliations:
Institute of Information Technology of National Academy of Sciences of Azerbaijan, 9, F. Agayev Street, AZ1141 Baku, Azerbaijan
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

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Abstract

Clustering algorithms are used to assess the interaction among documents by organizing documents into clusters such that document within a cluster are more similar to each other than are documents belonging to different clusters. Document clustering has been traditionally investigated as a means of improving the performance of search engines by pre-clustering the entire corpus, and a post-retrieval document browsing technique as well. It has long been studied as a post-retrieval document visualization technique. The purpose of present paper to show that assignment weight to documents improves clustering solution.