针对模糊c均值算法与粒子群算法的不足，提出了一种基于粒子群算法和模糊c—均值算法的混合聚类算法。

To avoid the shortcomings of FCM and Particle Swarm Optimization algorithm, new hybrid clustering algorithm based on PSO and FCM algorithm is proposed.

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为解决此问题，提出一种基于捕食-被捕食的粒子群优化模糊聚类算法且聚类中心采用密度函数初始化。

To solve the problem, a fuzzy clustering based on predator prey PSO algorithm is presented, which is using density function to initialize cluster centre.

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粒子群优化聚类算法具有参数简单，收敛快等优势，但也有局部极值问题。

PSO clustering algorithm is known to have simple parameters and fast convergence, but there are also local optimal problems.

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粒子群优化聚类算法具有参数简单，收敛快等优势，但也有局部极值问题。

PSO clustering algorithm is known to have simple parameters and fast convergence, but there are also local optimal problems.

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