Study of different approach to clustering data by using the Particle Swarm Optimization Algorithm

@article{Esmin2008StudyOD,
  title={Study of different approach to clustering data by using the Particle Swarm Optimization Algorithm},
  author={Ahmed Ali Abdalla Esmin and Dilson Lucas Pereira and Aluizio F. R. Ara{\'u}jo},
  journal={2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)},
  year={2008},
  pages={1817-1822}
}
This paper proposes two new data clustering approaches using the particle swarm optimization algorithm (PSO). It is shown how the PSO can be used to find centroids of a user specified number of clusters. The proposed approaches are an attempt to improve the Merwe and Engelbrecht method using different fitness functions and considering the situation where data is uniformly distributed. The data clustering PSO algorithm, using the original and proposed fitness functions is evaluated on well known… CONTINUE READING
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