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. Through the local optimization of each individual fish, we find the global optimal value, and thus get reasonable clustering for web access users. The actual results verify that the algorithm is effective.