关键词: 捕食-被捕食, 粒子群优化, 模糊聚类, 密度函数, 局部极值

Abstract: PSO clustering algorithm is known to have simple parameters and fast convergence，but there are also local optimal problems.To solve the problem，a fuzzy clustering based on predator prey PSO algorithm is presented，which is using density function to initialize cluster centre.Predators chase preys centre，to accelerate convergence，and the prey escape predators，to promote diversity and to prevent the local optimal there.The experimental test data show that this method is limited to prevent the extreme，fast convergence，global optimization capabilities，and other performance advantages，better able to objectively reflect the real world.

Key words: predator prey, Particle Swarm Optimization（PSO）, Fuzzy C-Mean clustering algorithm（FCM）, density function, local optimal