• DocumentCode
    1678000
  • Title

    VAT: a tool for visual assessment of (cluster) tendency

  • Author

    Bezdek, J.C. ; Hathaway, R.J.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of West Florida, Pensacola, FL, USA
  • Volume
    3
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    2225
  • Lastpage
    2230
  • Abstract
    A method is given for visually assessing the cluster tendency of a set of Objects O = {o1, . . . ,on} when they are represented either as object vectors or by numerical pairwise dissimilarity values. The objects are reordered and the reordered matrix of pair wise object dissimilarities is displayed as an intensity image. Clusters are indicated by dark blocks of pixels along the diagonal
  • Keywords
    data analysis; data visualisation; neural nets; pattern clustering; VAT; cluster tendency visual assessment tool; intensity image; numerical pairwise dissimilarity values; object vectors; pair wise object dissimilarities; reordered matrix; Clustering algorithms; Clustering methods; Computer science; Data analysis; Digital images; Mathematical model; Mathematics; Pattern recognition; Pixel; Symmetric matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-7278-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.2002.1007487
  • Filename
    1007487
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1678000