• DocumentCode
    3466712
  • Title

    Study on fuzzy clustering algorithm

  • Author

    Shi-Long Xue

  • Author_Institution
    Electr. Eng. Dept., Shanghai Maritme Univ., Shanghai, China
  • fYear
    2011
  • fDate
    22-25 Aug. 2011
  • Firstpage
    326
  • Lastpage
    329
  • Abstract
    The traditional clustering algorithms and the basic idea were studied, and the algorithm of the c-maximum clustering and the fuzzy c-maximum clustering were presented. A set of programs development with computer for the whole theory have been worked out which makes it possible to achieve the goal of diagnosis on-line fault.
  • Keywords
    fault diagnosis; fuzzy set theory; pattern clustering; c-maximum clustering; fuzzy c- maximum clustering; fuzzy clustering algorithm; online fault diagnosis; programs development; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Equations; Fault diagnosis; Flowcharts; Propulsion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Methods and Models in Automation and Robotics (MMAR), 2011 16th International Conference on
  • Conference_Location
    Miedzyzdroje
  • Print_ISBN
    978-1-4577-0912-8
  • Type

    conf

  • DOI
    10.1109/MMAR.2011.6031367
  • Filename
    6031367
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3466712