• DocumentCode
    2138844
  • Title

    Fuzzy elastic clustering

  • Author

    Srikanth, Radhaakrishnnn ; Pet, Frederick E. ; Koutsougeras, Cris

  • Author_Institution
    Dept. of Comput. Sci., Clark Atlanta Univ., GA, USA
  • fYear
    1993
  • fDate
    1993
  • Firstpage
    1179
  • Abstract
    The authors introduce a new hybrid method called fuzzy elastic clustering for clustering and classification of patterns. It generates closed loops around a set of training patterns and sections off portions of the hyperspace thus enclosing clusters of patterns. Patterns not in the training sets are assigned fuzzy membership values with respect to each of the clusters generated. These values are defuzzified and patterns are classified as belonging to one of the clusters. This method is motivated by the elastic net approach to solving the traveling salesman problem (TSP) of R. Durbin and D. Willshaw (1987) and T. Kohonen´s (1982) topologically organized feature maps
  • Keywords
    fuzzy set theory; operations research; pattern recognition; defuzzified; elastic net approach; fuzzy elastic clustering; fuzzy membership values; hyperspace; topologically organized feature maps; training patterns; traveling salesman problem; Clustering methods; Computer science; Fuzzy sets; Iris; Military computing; Nails; Neural networks; Pattern recognition; Prototypes; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1993., Second IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-0614-7
  • Type

    conf

  • DOI
    10.1109/FUZZY.1993.327559
  • Filename
    327559