DocumentCode
2119934
Title
Document Clustering Based on Fuzzy Rough Set
Author
Peng, Zhou ; Zhishu, Li ; Yang, Cheng ; Zhiguo, Huang
Author_Institution
Coll. of Comput. Sci., Sichuan Univ., Chengdu
fYear
2009
fDate
27-28 Feb. 2009
Firstpage
701
Lastpage
703
Abstract
High dimension and hard describing of cluster are the primary problems of clustering algorithm based on vector model. The conditional probability combined with rough set is introduced in this paper, and a information retrieval model based on fuzzy rough set is proposed, finally its document clustering algorithm is designed in detail. Especially the description and updating of cluster is studied in this paper.
Keywords
document handling; fuzzy set theory; information retrieval; pattern clustering; rough set theory; conditional probability; document clustering; fuzzy rough set; information retrieval model; vector model; Algorithm design and analysis; Clustering algorithms; Computer science; Design methodology; Educational institutions; Fuzzy sets; Information retrieval; Rough sets; Set theory; Software algorithms; document clustering; fuzzy set; information retrieval; rough set;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication Software and Networks, 2009. ICCSN '09. International Conference on
Conference_Location
Macau
Print_ISBN
978-0-7695-3522-7
Type
conf
DOI
10.1109/ICCSN.2009.94
Filename
5076945
Link To Document