Web users clustering analysis based on AFSA

The scalability of traditional clustering algorithm is not strong. Its capacity of processing isolated points is also weak. Artificial fish swarm algorithm (AFSA) is an algorithm for global optimization based on animal behavior. It is used in web users clustering; imitating fish feeding, clustering, pileup and random acts to construct artificial fish. Throu gh the local optimization of each individual fish, wefind the global optimal value, and thusget reasonable clustering for web access users. The actual results verify that the algorithm is effective.