• DocumentCode
    419406
  • Title

    Feature selection based on a black hole model of data reorganization

  • Author

    Markou, Markos ; Singh, Sameer

  • Author_Institution
    Dept. Of Comput. Sci., Exeter Univ., UK
  • Volume
    4
  • fYear
    2004
  • fDate
    23-26 Aug. 2004
  • Firstpage
    565
  • Abstract
    This work introduces a new model of feature selection based on a pattern recognition model using the concept of black holes. We show that this method of feature selection is robust and provides an efficient subset of features for classification.
  • Keywords
    feature extraction; pattern classification; black hole model; data reorganization; feature selection; pattern recognition model; Clustering algorithms; Computer science; Covariance matrix; Extraterrestrial measurements; Feature extraction; Iterative algorithms; Pattern recognition; Robustness; Testing; Training data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2128-2
  • Type

    conf

  • DOI
    10.1109/ICPR.2004.1333835
  • Filename
    1333835
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=419406