• DocumentCode
    2183161
  • Title

    A Classification Method Using Weighted Nearest Neighbor Method based on A Supervised Decision Algorithm of Plural Class Presentation Points

  • Author

    Imamura, Hiroki ; Fujimura, Makoto ; Kuroda, Hideo

  • Author_Institution
    Dept. of Eng., Nagasaki Univ.
  • fYear
    2006
  • fDate
    Oct. 18 2006-Sept. 20 2006
  • Firstpage
    49
  • Lastpage
    53
  • Abstract
    To precisely classify input patterns, we propose a pattern classification method which uses weighted distance, based on the mean of norm, from a input pattern to plural class presentation points. By using the proposed method, we can reduce calculation cost of classification and can obtain precise results of classification
  • Keywords
    pattern classification; calculation cost reduction; pattern classification method; plural class presentation points; supervised decision algorithm; weighted distance; weighted nearest neighbor method; Cities and towns; Classification algorithms; Costs; Design engineering; Information science; Nearest neighbor searches; Neural networks; Pattern classification; Prototypes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Information Technologies, 2006. ISCIT '06. International Symposium on
  • Conference_Location
    Bangkok
  • Print_ISBN
    0-7803-9741-X
  • Electronic_ISBN
    0-7803-9741-X
  • Type

    conf

  • DOI
    10.1109/ISCIT.2006.339885
  • Filename
    4141511