• DocumentCode
    2821523
  • Title

    Feature-weighted k-Nearest Neighbor Classifier

  • Author

    Vivencio, Diego P. ; Hruschka, Estevam R., Jr. ; do Carmo Nicoletti, M. ; Santos, Edimilson B dos ; Galvao, Sebastian D C O

  • Author_Institution
    DC/UFSCar, S. Carlos
  • fYear
    2007
  • fDate
    1-5 April 2007
  • Firstpage
    481
  • Lastpage
    486
  • Abstract
    This paper proposes a feature weighting method based on X2 statistical test, to be used in conjunction with a k-NN classifier. Results of empirical experiments conducted using data from several knowledge domains are presented and discussed. Forty four out of forty five conducted experiments favoured the feature weighted approach and are empirical evidence that the proposed weighting process based on X2 is a good weighting strategy
  • Keywords
    pattern classification; statistical analysis; feature weighting method; feature-weighted k-nearest neighbor classifier; k-NN classifier; statistical test; Accuracy; Computational intelligence; Data mining; Machine learning; Machine learning algorithms; Mutual information; Nearest neighbor searches; Neural networks; Testing; Time measurement; Feature Ranking; Feature Selection; Instance-Based Learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computational Intelligence, 2007. FOCI 2007. IEEE Symposium on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    1-4244-0703-6
  • Type

    conf

  • DOI
    10.1109/FOCI.2007.371516
  • Filename
    4233950
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2821523