• DocumentCode
    1319410
  • Title

    Improving the accuracy of the Euclidean distance classifier

  • Author

    Amadasun, M. ; King, Robert A.R.

  • Author_Institution
    Imperial Coll., London, UK
  • Volume
    15
  • Issue
    1
  • fYear
    1990
  • Firstpage
    16
  • Lastpage
    17
  • Abstract
    The Euclidean distance (ED) classifier has the advantage of simplicity in design and fast computational speed, but has poor classification accuracy. Using a new feature normalization technique and feature weighting, a substantial increase in accuracy is obtained with no significant increase in computational cost or complexity of design.
  • Keywords
    pattern recognition; picture processing; classification accuracy; euclidean distance classifier; feature normalization technique; feature weighting; Accuracy; Complexity theory; Computational efficiency; Euclidean distance; Manganese; Support vector machine classification; Weight measurement;
  • fLanguage
    English
  • Journal_Title
    Electrical and Computer Engineering, Canadian Journal of
  • Publisher
    ieee
  • ISSN
    0840-8688
  • Type

    jour

  • DOI
    10.1109/CJECE.1990.6592169
  • Filename
    6592169
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1319410