Locality sensitive C-means clustering algorithms

@article{Huang2010LocalitySC,
  title={Locality sensitive C-means clustering algorithms},
  author={Pengfei Huang and Daoqiang Zhang},
  journal={Neurocomputing},
  year={2010},
  volume={73},
  pages={2935-2943}
}
The concept of preserving locality information in dimensionality reduction and semi-supervised classification have been very popular recently. In this paper, we attempt to use locality sensitive weight for clustering, where the neighborhood structure information between objects are transformed into weights of objects. We develop two novel locality sensitive C-means algorithms, i.e. Locality-weighted and fuzzy C-means, respectively. In addition, two semi-supervised extensions of LFCM are… CONTINUE READING
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