Possibilistic clustering with seeds

@article{Antoine2018PossibilisticCW,
  title={Possibilistic clustering with seeds},
  author={Violaine Antoine and Jose A. Guerrero and Tanya Boone and Gerardo Romero-Galv{\'a}n},
  journal={2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)},
  year={2018},
  pages={1-7}
}
Clustering methods assign objects to clusters using only as prior information the characteristics of the objects. However, clustering algorithms performance can be improved when background knowledge is available. Such background knowledge can be incorporated in a clustering method as label constraints which results in a semi-supervised clustering algorithm. We propose to extend two possibilistic clustering algorithms to make use of available a priori information. The goal is twofold: to improve… CONTINUE READING

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