• DocumentCode
    998900
  • Title

    Dynamic clustering of interval data based on adaptive Chebyshev distances

  • Author

    de Souza, R.M.C.R. ; de Carvalho, F.A.T.

  • Author_Institution
    Comput. Sci. Center, Fed. Univ. of Pernambuco, Recife, Brazil
  • Volume
    40
  • Issue
    11
  • fYear
    2004
  • fDate
    5/27/2004 12:00:00 AM
  • Firstpage
    658
  • Lastpage
    660
  • Abstract
    A dynamic clustering method for interval data is presented. This method furnishes a partition and a prototype for each cluster by optimising a criterion based on adaptive Chebyshev distances. Experiments with real and artificial interval data sets have demonstrated the usefulness of this method.
  • Keywords
    Chebyshev approximation; data analysis; pattern clustering; statistical analysis; adaptive Chebyshev distances; artificial interval data sets; dynamic clustering method; optimisation; prototypes; real interval data sets;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20040440
  • Filename
    1302787
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=998900