• DocumentCode
    2657470
  • Title

    Softmax Discriminant Classifier

  • Author

    Zang, Fei ; Zhang, Jiang-she

  • Author_Institution
    State Key Lab. for Manuf. Syst. Eng., Xi´´an Jiaotong Univ., Xi´´an, China
  • fYear
    2011
  • fDate
    4-6 Nov. 2011
  • Firstpage
    16
  • Lastpage
    19
  • Abstract
    A simple but effective classifier, which is called soft max discriminant classifier or SDC for short, is presented. Based on the soft max discriminant function, SDC assigns the label information to a new testing sample by nonlinear transformation of the distance between the testing sample and training samples. Experimental results on some well-known data sets demonstrate the feasibility and effectiveness of the proposed algorithm.
  • Keywords
    pattern classification; SDC; nonlinear transformation; softmax discriminant classifier; Accuracy; Educational institutions; Glass; Pattern recognition; Principal component analysis; Testing; Training; classifier; nonlinear transformation; softmax discriminant function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Information Networking and Security (MINES), 2011 Third International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4577-1795-6
  • Type

    conf

  • DOI
    10.1109/MINES.2011.123
  • Filename
    6103712
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2657470