• DocumentCode
    2542249
  • Title

    Agglomerative model for fuzzy relational clustering (FRC)

  • Author

    Sen, Sumit ; Davé, Rajesh N.

  • Author_Institution
    Dept. of Mech. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    267
  • Lastpage
    271
  • Abstract
    The concept of agglomerative model has been incorporated in fuzzy relational clustering (FRC) to address the issue of unknown numbers of clusters and a new agglomerative fuzzy relational clustering (A-FRC) is proposed. The method starts with a large number of small clusters. As the iteration proceeds, the number of clusters is progressively reduced based on the cardinality of the clusters. The algorithm then finally converges to an optimal number of clusters. The proposed algorithm has been tested for both object data and relational data
  • Keywords
    database theory; fuzzy logic; fuzzy set theory; pattern clustering; relational databases; agglomerative fuzzy relational clustering; agglomerative model; cluster cardinality; fuzzy relational clustering; iteration; object data; relational data; Clustering algorithms; Clustering methods; Data visualization; Mechanical engineering; Microcomputers; Partitioning algorithms; Symmetric matrices; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 2000. NAFIPS. 19th International Conference of the North American
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    0-7803-6274-8
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2000.877434
  • Filename
    877434