• DocumentCode
    2521109
  • Title

    Clustering analysis with information system approaches

  • Author

    Zhang, Lishi ; Wang, Xianchang ; Zhao, Xueda

  • fYear
    2011
  • fDate
    23-25 May 2011
  • Firstpage
    3504
  • Lastpage
    3507
  • Abstract
    With the large number of attributes, clustering analysis of data is involved into the reduction of its attributes The main task of the present work is to construct a novel clustering analysis method motivated by the fundamental idea from information system, the computer simulation shows that the reduction of attributes gives a better accuracy of clustering rate.
  • Keywords
    data mining; pattern clustering; attribute reduction; clustering analysis; information system approach; Accuracy; Feature extraction; Fractals; Information systems; Rough sets; Solitons; Vectors; Indiscernibility relation; Information system; Reduction of attribute;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2011 Chinese
  • Conference_Location
    Mianyang
  • Print_ISBN
    978-1-4244-8737-0
  • Type

    conf

  • DOI
    10.1109/CCDC.2011.5968724
  • Filename
    5968724