DocumentCode
2013218
Title
A new clustering method based on ant colony algorithm
Author
Xin-bin, Yang ; Jing-gao, Sun ; Dao, Huang
Author_Institution
Inf. Coll., ECUST, Shanghai, China
Volume
3
fYear
2002
fDate
2002
Firstpage
2222
Abstract
In this paper a new kind of clustering method based on the ant colony algorithm is proposed according to the principle that how human do clustering and the action that how ants look for food. We obtain a global optimal solution using this method. The method has the advantage of high parallel and effective computing and good clustering ability.
Keywords
multi-agent systems; optimisation; parallel processing; pattern clustering; ant colony algorithm; cluster center; clustering analysis; global optimal solution; parallel computing; Automation; Clustering algorithms; Clustering methods; Concurrent computing; Educational institutions; Humans; Intelligent control; Sun;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN
0-7803-7268-9
Type
conf
DOI
10.1109/WCICA.2002.1021482
Filename
1021482
Link To Document