• DocumentCode
    1104722
  • Title

    Application of the Karhunen-Loève Expansion to Feature Selection and Ordering

  • Author

    Fukunaga, Keinosuke ; Koontz, Warren L.G.

  • Author_Institution
    IEEE
  • Issue
    4
  • fYear
    1970
  • fDate
    4/1/1970 12:00:00 AM
  • Firstpage
    311
  • Lastpage
    318
  • Abstract
    The Karhunen-Lo6ve expansion has been used previously to extract important features for representing samples taken from a given distribution. A method is developed herein to use the Karhunen-Loeve expansion to extract features relevant to classification of a sample taken from one of two pattern classes. Numerical examples are presented to illustrate the technique.
  • Keywords
    Clustering, feature extraction, feature selection, Karhunen-Loeve expansion, pattern recognition, unsupervised learning.; Autocorrelation; Character recognition; Clustering algorithms; Covariance matrix; Feature extraction; Integral equations; Pattern recognition; Random processes; Time measurement; Unsupervised learning; Clustering, feature extraction, feature selection, Karhunen-Loeve expansion, pattern recognition, unsupervised learning.;
  • fLanguage
    English
  • Journal_Title
    Computers, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9340
  • Type

    jour

  • DOI
    10.1109/T-C.1970.222918
  • Filename
    1671511
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1104722