Data Clustering Method based on Ant Swarm Intelligence
Clustering analysis based on ant swarm intelligence is discussed. As traditional clustering algorithm is easy to obtain local optimum, it uses ant swarm intelligence to obtain global search. It improves the clustering by locating the objects in a cluster with the probability, which is updated by the pheromone, while the rule of updating pheromone is according to total within cluster variance. According to the simulation results, the proposed algorithm outperforms several existing approaches such as GA, SOM.
swarm intelligence clustering aco
WANG Yong WEI Peng-Cheng
Computer Department, Chongqing Education College, Chongqing, China
国际会议
北京
英文
2306-2309
2009-08-08（万方平台首次上网日期，不代表论文的发表时间）