• DocumentCode
    3076471
  • Title

    An efficient psFCM Clustering Algorithm

  • Author

    Begum, S.A. ; Purkayastha, B.S. ; Chakrabarty, A. ; Som, T.

  • Author_Institution
    Dept. of Comput. Sci., Assam Univ., Silchar
  • fYear
    2009
  • fDate
    6-7 March 2009
  • Firstpage
    1393
  • Lastpage
    1399
  • Abstract
    In this paper an efficient method for data clustering is proposed. The proposed algorithm is a modified psFCM, called the pshFCM clustering algorithm that finds better cluster centers for a given data sets as compared to the cluster centers obtained by he sFC. Tecmpuatinalperormnceof he ropsed pshFCM algorithm is comparable with thepsFCM and the FCM.
  • Keywords
    fuzzy set theory; pattern clustering; cluster centers; clustering algorithm; data clustering; fuzzy clustering; fuzzy sets; Algorithm design and analysis; Clustering algorithms; Clustering methods; Computer science; Data mining; Focusing; Fuzzy sets; Mathematics; Partitioning algorithms; Uncertainty; Data mining; Fuzzy clustering algorithm; Fuzzy sets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advance Computing Conference, 2009. IACC 2009. IEEE International
  • Conference_Location
    Patiala
  • Print_ISBN
    978-1-4244-2927-1
  • Electronic_ISBN
    978-1-4244-2928-8
  • Type

    conf

  • DOI
    10.1109/IADCC.2009.4809220
  • Filename
    4809220
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3076471