January 1, 2003

Data clustering using particle swarm optimization

DMD.W. van der MerweUniversity of Pretoria AEAndries P. EngelbrechtGulf University for Science & Technology

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Abstract

This paper proposes two new approaches to using PSO to cluster data. It is shown how PSO can be used to find the centroids of a user specified number of clusters. The algorithm is then extended to use K-means clustering to seed the initial swarm. This second algorithm basically uses PSO to refine the clusters formed by K-means. The new PSO algorithms are evaluated on six data sets, and compared to the performance of K-means clustering. Results show that both PSO clustering techniques have much potential.

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Merwe et al. (Wed,) studied this question.

synapsesocial.com/papers/6a1c1318ea84844e355f6871 https://doi.org/https://doi.org/10.1109/cec.2003.1299577

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