• DocumentCode
    27782
  • Title

    Kernel-based clustering

  • Author

    Piciarelli, Claudio ; Micheloni, C. ; Foresti, Gian Luca

  • Author_Institution
    Dept. of Math. & Comput. Sicence, Univ. of Udine, Udine, Italy
  • Volume
    49
  • Issue
    2
  • fYear
    2013
  • fDate
    January 17 2013
  • Firstpage
    113
  • Lastpage
    114
  • Abstract
    Proposed is a novel clustering technique based on kernel methods. The geometric properties of normalised kernel spaces are exploited to automatically detect the correct number of clusters, thus avoiding the requirement of an initial estimate of this parameter, as required instead in many popular algorithms.
  • Keywords
    pattern clustering; automatic detection; geometric properties; kernel-based clustering; normalised kernel spaces;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2012.3234
  • Filename
    6420083
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=27782