A Weighted Sample’s Fuzzy Clustering Algorithm With Generalized Entropy

نویسندگان

  • Kai Li
  • Lijuan Cui
چکیده

Combined with weight of samples and kernel function, fuzzy clustering method with generalized entropy is studied. Objective function for fuzzy clustering with generalized entropy based on sample weighting is obtained. Following that, fuzzy clustering algorithm with generalized entropy based on sample weighting is presented. In addition, by introducing kernel into the presented objective function, kernel fuzzy clustering algorithm with generalized entropy based on sample weighting is obtained. At the same time, some methods for determining weight of samples are analyzed. Aiming at some selected representative datasets, experiments are conducted to validate the effectiveness of presented algorithms above. Keywords-fuzzy clustering; generalized entropy; sample weighting; kernel

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تاریخ انتشار 2014