A novel chaotic particle swarm optimization based fuzzy clustering algorithm

@article{Li2012ANC,
  title={A novel chaotic particle swarm optimization based fuzzy clustering algorithm},
  author={Chaoshun Li and Jianzhong Zhou and Pangao Kou and Jian Xiao},
  journal={Neurocomputing},
  year={2012},
  volume={83},
  pages={98-109}
}
Clustering is a popular data analysis and data mining technique. In this paper, a novel chaotic particle swarm fuzzy clustering (CPSFC) algorithm based on chaotic particle swarm (CPSO) and gradient method is proposed. Fuzzy clustering model optimization is challenging, in order to solve this problem, adaptive inertia weight factor (AIWF) and iterative chaotic map with infinite collapses (ICMIC) are introduced, and a new CPSO algorithm combined AIWF and ICMIC based chaotic local search is… CONTINUE READING
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