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《Journal of Beijing University of Aeronautics and Astronautics》 2007-09
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Bezdek type fuzzy attribute C-means clustering algorithm

Liu Jingwei(School of Science,Beijing University of Aeronautics and Astronautics,Beijing 100083,China) Xu Meizhi(Department of Mathematical Sciences,Tsinghua University,Beijing,100084)  
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.
【Fund】: 中国博士后基金资助项目(2003033145)
【CateGory Index】: O159
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