• DocumentCode
    226694
  • Title

    A maximizing model of Bezdek-like spherical fuzzy c-means clustering

  • Author

    Kanzawa, Yuchi

  • Author_Institution
    Dept. of Commun. Eng., Shibaura Inst. of Technol., Tokyo, Japan
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    2482
  • Lastpage
    2488
  • Abstract
    In this study, a maximizing model of Bezdek-type spherical fuzzy c-means clustering is proposed, which is based on the regularization of the maximizing model of spherical hard c-means. Using theoretical analysis and numerical experiments, it is shown that the proposed method is not equivalent to the minimizing model of Bezdek-type spherical fuzzy c-means, because the effect of its fuzzifier parameter is different from that found in conventional methods.
  • Keywords
    fuzzy set theory; pattern clustering; Bezdek-like spherical fuzzy c-means clustering; fuzzifier parameter; maximizing model; spherical hard c-means; Algorithm design and analysis; Clustering algorithms; Entropy; Kernel; Linear programming; Optimization; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-2073-0
  • Type

    conf

  • DOI
    10.1109/FUZZ-IEEE.2014.6891670
  • Filename
    6891670