Fuzzy Clustering Using Kernel Method

@inproceedings{Zhang2002FuzzyCU,
  title={Fuzzy Clustering Using Kernel Method},
  author={Daoqiang Zhang and Songcan Chen},
  year={2002}
}
Classical fuzzy C -means (FCM) clustering is performed in the input space, given the desired number of clusters. Although it has proven effective for spherical data, it fails when the data structure of input patterns is non-spherical and complex. In this paper, we present a novel kernel-based fuzzy C-means clustering algorithm (KFCM). Its basic idea is to transform implicitly the input data into a higher dimensional feature space via a nonlinear map, which increases greatly possibility of… CONTINUE READING
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