• DocumentCode
    1253228
  • Title

    Image clustering using higher-order statistics

  • Author

    Rajagopalan, A.N.

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol., Madras, India
  • Volume
    38
  • Issue
    3
  • fYear
    2002
  • fDate
    1/31/2002 12:00:00 AM
  • Firstpage
    122
  • Lastpage
    124
  • Abstract
    Traditional algorithms for clustering image data have used Euclidean or Mahalanobis distance. Here, a more general higher-order statistics-based closeness measure derived from a series expansion for a multivariate probability density function in terms of the Gaussian function and the Hermite polynomials is proposed for clustering. The superiority of this measure is demonstrated with an example application
  • Keywords
    Gaussian distribution; Wigner distribution; higher order statistics; image classification; pattern clustering; Gaussian function; Hermite polynomials; closeness measure; higher-order statistics; image clustering; multivariate probability density function; series expansion;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20020092
  • Filename
    984404
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1253228