A population-based clustering technique using particle swarm optimization and k-means

@article{Niu2016APC,
  title={A population-based clustering technique using particle swarm optimization and k-means},
  author={Buyue Niu and Qiqi Duan and Jing Liu and Lijing Tan and Yanmin Liu},
  journal={Natural Computing},
  year={2016},
  volume={16},
  pages={45-59}
}
A population-based clustering technique, which attempts to integrate different particle swarm optimizers (PSOs) with the famous k-means algorithm, is proposed. More specifically, six existing extensively studied PSOs, which have shown promising performance for continuous optimization, are hybridized separately with Lloyd’s k-means algorithm, leading to six PSO-based clustering methods. These PSO-based approaches use different social communications among neighbors to make some particles escape… CONTINUE READING

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