Image clustering using Particle Swarm Optimization

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Conference Proceeding
2011 IEEE Congress of Evolutionary Computation, CEC 2011, 2011, pp. 262 - 268
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This paper proposes an image clustering algorithm using Particle Swarm Optimization (PSO) with two improved fitness functions. The PSO clustering algorithm can be used to find centroids of a user specified number of clusters. Two new fitness functions are proposed in this paper. The PSO-based image clustering algorithm with the proposed fitness functions is compared to the K-means clustering. Experimental results show that the PSO-based image clustering approach, using the improved fitness functions, can perform better than K-means by generating more compact clusters and larger inter-cluster separation. © 2011 IEEE.
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