Yuyan Zheng, Jianhua Qu, Yang Zhou, "An Improved PSO Clustering Algorithm Based on Affinity Propagation," WSEAS Transactions on Systems, vol. 12, pp. -, 2013, DOI:
Yuyan Zheng, Jianhua Qu, Yang Zhou. An Improved PSO Clustering Algorithm Based on Affinity Propagation.
WSEAS Transactions on Systems. 2013;12:-.
WSEAS Transactions on Systems
Print ISSN: 1109-2777, E-ISSN: 2224-2678
Volume 12, 2013
An Improved PSO Clustering Algorithm Based on Affinity Propagation
Authors: , ,
Abstract: Particle swarm optimization (PSO) is undoubtedly one of the most widely used swarm intelligence algorithm. Generally, each particle is assigned an initial value randomly. In this paper an improved PSO clustering algorithm based on affinity propagation (APPSO) is proposed which provides new ideas and methods for cluster analysis. Firstly the proposed algorithm get initial cluster centers by affinity propagation. Secondly obtained initial cluster centers are regarded as inputs of one of all particles instead of being assigned randomly. Finally we cluster with the improved PSO clustering algorithm. Through experiment test, we demonstrate that the improved PSO clustering algorithm has not only high accuracy but also certain stability.
Pages: - WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 12, 2013DOI: *As the DOI is a unique identifier, it is already available in the pdf version.
**The DOI link will be activated in the first midst of January 2026.
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