Volume 33 Issue 09
Sep.  2007
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Liu Jingwei, Xu Meizhi. Bezdek type fuzzy attribute C-means clustering algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(09): 1121-1126. (in Chinese)
Citation: Liu Jingwei, Xu Meizhi. Bezdek type fuzzy attribute C-means clustering algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(09): 1121-1126. (in Chinese)

Bezdek type fuzzy attribute C-means clustering algorithm

  • Received Date: 23 Aug 2006
  • Publish Date: 30 Sep 2007
  • Bezdek type fuzzy attribute C-means clustering algorithm(FAMC) was proposed by extending attribute means clustering(AMC) algorithm based on fuzziness index (or weighting exponent) m. The iterative algorithm was derived and the effect of fuzziness index m on objective function convergence was discussed. The experimental results of pattern recognition performances on standard Iris database and tumor/normal gene chip expression data demonstrate that FAMC is more effective than fuzzy C-means clustering(FCM) algorithm and AMC.

     

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