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ZHANG Sen, ZHU Mei-ling, HOU Guang-kui. Improvement Fuzzy kernel Clustering Algorithm[J]. Journal of Beijing University of Technology, 2012, 38(9): 1408-1411.
Citation: ZHANG Sen, ZHU Mei-ling, HOU Guang-kui. Improvement Fuzzy kernel Clustering Algorithm[J]. Journal of Beijing University of Technology, 2012, 38(9): 1408-1411.
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Improvement Fuzzy kernel Clustering Algorithm

  • 1. College of Applied Sciences, Beijing University of Technology, Beijing 100124, China;

  • 2. Department of Computer Science, Cangzhou Normal College, Cangzhou 061001, Hebei, China

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  • Received Date: June 03, 2010
  • Available Online: December 02, 2022
    Graphical Abstract
    • Abstract
  • A kernel-based improved alternative fuzzy C-means (KIAFCM) clustering algorithm was presented in this paper, which combined the advances of kernel-based learning approach and IAFCM algorithm, and could effectively cluster non-hyper spherical samples, or samples with noise, outliers, etc. The KIAFCM algorithm non-linearly mapped the feature space into the high-dimensional kernel space to improve the clustering performance. Results show that the proposed algorithm is effective.
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