• DocumentCode
    1427187
  • Title

    Validity measures for the fuzzy cluster analysis of orientations

  • Author

    Hammah, Reginald E. ; Curran, John H.

  • Author_Institution
    Rocscience Inc., Toronto, Ont., Canada
  • Volume
    22
  • Issue
    12
  • fYear
    2000
  • fDate
    12/1/2000 12:00:00 AM
  • Firstpage
    1467
  • Lastpage
    1472
  • Abstract
    Fuzzy K-means clustering can be applied to the automatic identification of sets in discontinuity data after suitable adaptation of the algorithm. To establish the number of clusters in a data set, modified versions of the validity measures of Gath and Geva (1989), Xie-Beni (1991) and Fukuyama-Sugeno are presented in this paper
  • Keywords
    eigenvalues and eigenfunctions; fuzzy set theory; pattern classification; cluster validity measures; eigenvalues; fuzzy cluster analysis; fuzzy set theory; identification; orientations; Algorithm design and analysis; Clustering algorithms; Data analysis; Density measurement; Euclidean distance; Fuzzy sets; Mechanical variables measurement; Partitioning algorithms; Performance analysis; Prototypes;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.895981
  • Filename
    895981
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1427187