A Novel Fuzzy Clustering Based on Particle Swarm Optimization

In order to overcome the shortcomings of fuzzy C-means algorithm such as the local optima and sensitivity to initialization, a new PSO-based fuzzy algorithm is discussed in this paper. The new algorithm uses the capacity of global search in PSO algorithm, and solves the problems of FCM. The experiment shows that the algorithm avoids the local optima and increases the convergence speed.

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