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 :
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