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
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;
Conference_Titel :
Communication Software and Networks, 2009. ICCSN '09. International Conference on
Conference_Location :
Macau
Print_ISBN :
978-0-7695-3522-7
DOI :
10.1109/ICCSN.2009.94
