A new clustering method based on ant colony algorithm
Xinbin Yang, Jinggao Sun, Huang Dao · 2003
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.