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A Novel Fuzzy Clustering Based on Particle Swarm Optimization

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3 Author(s)
Lili Li ; Shandong Normal Univ., Jinan ; Xiyu Liu ; Mingming Xu

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.

Published in:

Information Technologies and Applications in Education, 2007. ISITAE '07. First IEEE International Symposium on

Date of Conference:

23-25 Nov. 2007