• DocumentCode
    1767295
  • Title

    Fuzzy logic and the mountain clustering

  • Author

    Arysheva, Ksenya S.

  • Author_Institution
    Inst. of Cybern., Tomsk Polytech. Univ., Tomsk, Russia
  • fYear
    2014
  • fDate
    16-18 Oct. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The mountain clustering method is based on fuzzy logic and is used to localize clusters in data sets that have clustering tendencies. This article gives valuable background and details of fuzzy logic and the main steps of fuzzy clustering. The focus is on modification of mountain clustering and its mathematical basis. The paper also presents implementation and test results of the modified mountain clustering method with different inputs.
  • Keywords
    fuzzy logic; pattern clustering; fuzzy clustering; fuzzy logic; mountain clustering; Clustering algorithms; Convergence; Distributed computing; Libraries; MATLAB; Uniform resource locators; Data clustering; fuzzy clustering; fuzzy logic; mountain clustering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanical Engineering, Automation and Control Systems (MEACS), 2014 International Conference on
  • Conference_Location
    Tomsk
  • Print_ISBN
    978-1-4799-6220-4
  • Type

    conf

  • DOI
    10.1109/MEACS.2014.6986882
  • Filename
    6986882
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1767295