DocumentCode
526718
Title
Swarm intelligent optimization algorithm for text clustering
Author
Peng Hong ; Wang Cong ; Guan Xin
Author_Institution
Faulty of Electr. & Control Eng., Liaoning Tech. Univ., Huludao, China
Volume
5
fYear
2010
fDate
9-11 July 2010
Firstpage
200
Lastpage
203
Abstract
This paper presents the text clustering algorithm of the cluster intelligent optimization that uses cluster intelligent optimization algorithms to find the initial focal point to resolve the input sequences of fuzzy clustering and the initial point of sensitive issues; and use the improved fuzzy clustering algorithm to eliminate the sample text is not balance and refine clustering results. The experimental results show that the algorithm in the test data set obtained clustering results even better.
Keywords
fuzzy set theory; particle swarm optimisation; pattern clustering; statistical analysis; text analysis; focal point; fuzzy clustering algorithm; swarm intelligent optimization algorithm; text clustering; cluster intelligence; fuzzy clustering; text clustering;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5565020
Filename
5565020
Link To Document