• DocumentCode
    1281840
  • Title

    Comments on "A possibilistic approach to clustering"

  • Author

    Barni, M. ; Cappellini, V. ; Mecocci, A.

  • Author_Institution
    Dept. of Electron. Eng., Florence Univ., Italy
  • Volume
    4
  • Issue
    3
  • fYear
    1996
  • Firstpage
    393
  • Lastpage
    396
  • Abstract
    In this comment, we report a difficulty with the-application of the possibilistic approach to fuzzy clustering (PCM) proposed by Keller and Krishnapuram (1993). In applying this algorithm we found that it has the undesirable tendency to produce coincidental clusters. Results illustrating this tendency are reported and a possible explanation for the PCM behavior is suggested.
  • Keywords
    fuzzy set theory; iterative methods; pattern classification; possibility theory; coincidental clusters; fuzzy clustering; iterative process; pattern classification; possibilistic C-means; Clustering algorithms; Partitioning algorithms; Phase change materials; Pixel; Possibility theory; Prototypes; Satellites; Testing; Urban areas;
  • fLanguage
    English
  • Journal_Title
    Fuzzy Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6706
  • Type

    jour

  • DOI
    10.1109/91.531780
  • Filename
    531780
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1281840