• DocumentCode
    1253219
  • Title

    Feature selection based on similarity

  • Author

    Lazzerini, B. ; Marcelloni, E.

  • Author_Institution
    Dipt. di Ingegneria della Informazione, Pisa Univ., Italy
  • Volume
    38
  • Issue
    3
  • fYear
    2002
  • fDate
    1/31/2002 12:00:00 AM
  • Firstpage
    121
  • Lastpage
    122
  • Abstract
    A new method for feature selection is proposed. The method associates a weight with each feature by minimising an appropriate index defined in terms of similarity between patterns of the training set. The weight measures the importance of the corresponding feature in characterising the classes. Features associated with low weights are considered irrelevant and therefore eliminated. Experimental results to confirm the validity of the method are shown
  • Keywords
    feature extraction; filtering theory; pattern classification; feature selection; filter method; pattern classifiers; similarity; training set patterns; validity;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20020078
  • Filename
    984403
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1253219