• DocumentCode
    3109917
  • Title

    Fuzzy cluster analysis with missing values

  • Author

    Timm, H. ; Kruse, R.

  • Author_Institution
    Fac. of Comput. Sci., Magdeburg Univ. of Technol., Germany
  • fYear
    1998
  • fDate
    20-21 Aug 1998
  • Firstpage
    242
  • Lastpage
    246
  • Abstract
    The paper shows how methods of fuzzy cluster analysis can be extended in such a way that they are able to process datasets with missing values. We study several imputation methods and propose a new approach for reducing the influence of imputations
  • Keywords
    data analysis; fuzzy set theory; pattern recognition; data analysis; datasets; fuzzy cluster analysis; fuzzy clustering algorithms; imputation methods; missing values; Clustering algorithms; Computer science; Data analysis; Data preprocessing; Ellipsoids; Noise robustness; Noise shaping; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society - NAFIPS, 1998 Conference of the North American
  • Conference_Location
    Pensacola Beach, FL
  • Print_ISBN
    0-7803-4453-7
  • Type

    conf

  • DOI
    10.1109/NAFIPS.1998.715573
  • Filename
    715573
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3109917