• DocumentCode
    2434598
  • Title

    Application of improved Fisher Linear Discriminant Analysis approaches

  • Author

    Zhang, Lishi ; Wang, Dehong ; Gao, Shengzhe

  • Author_Institution
    Sch. of Sci., Dalian Ocean Univ., Dalian, China
  • fYear
    2011
  • fDate
    8-11 Jan. 2011
  • Firstpage
    1311
  • Lastpage
    1314
  • Abstract
    The objective of discriminant analysis is to use information from the independent variables to achieve the clearest possible separation or discrimination between or among groups, the main task of the present work is to modify the objective functions and make the separation as large as possible. Fisher Linear Discriminant Analysis approach is modified to meet the requirement that maximizes the objective function, some computer simulations show that the modified ones can achieve the same results as the previous one.
  • Keywords
    pattern recognition; statistical analysis; Fisher linear discriminant analysis; computer simulations; objective function; Accuracy; Classification algorithms; Computer simulation; Iris; Linear discriminant analysis; Oceans; Pattern recognition; fuzzy c-means; iris data; linear discriminant analysis; wine classification data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Industrial Engineering (MSIE), 2011 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-8383-9
  • Type

    conf

  • DOI
    10.1109/MSIE.2011.5707664
  • Filename
    5707664