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.