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
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;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1021482
