A novel fuzzy clustering algorithm based on a fuzzy scatter matrix with optimality tests

@article{Wu2005ANF,
  title={A novel fuzzy clustering algorithm based on a fuzzy scatter matrix with optimality tests},
  author={Kuo-Lung Wu and Jian Yu and M. Yang},
  journal={Pattern Recognit. Lett.},
  year={2005},
  volume={26},
  pages={639-652}
}
  • Kuo-Lung Wu, Jian Yu, M. Yang
  • Published 2005
  • Mathematics, Computer Science
  • Pattern Recognit. Lett.
  • Most clustering algorithms are based on a within-cluster scatter matrix with a compactness measure. In this paper we propose a novel fuzzy clustering algorithm, called the fuzzy compactness and separation (FCS), based on a fuzzy scatter matrix in which the FCS algorithm is derived using compactness measure minimization and separation measure maximization. The compactness is measured using a fuzzy within-cluster variation. The separation is measured using a fuzzy between-cluster variation. The… CONTINUE READING
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