• DocumentCode
    809435
  • Title

    Text mining with information-theoretic clustering

  • Author

    Kogan, Jacob ; Nicholas, Charles ; Volkovich, Vladimir

  • Author_Institution
    Dept. of Math. & Stat., Maryland Univ., Baltimore, MD, USA
  • Volume
    5
  • Issue
    6
  • fYear
    2003
  • Firstpage
    52
  • Lastpage
    59
  • Abstract
    Motivated by the success of hybrid information-retrieval algorithms, the authors report on the development of their hybrid clustering scheme. Scheme experiments on data in a reduced vector space model indicate a higher performance level over several existing clustering algorithms.
  • Keywords
    data mining; information retrieval; pattern clustering; text analysis; hybrid clustering; hybrid information-retrieval algorithms; information-theoretic clustering; text mining; Bioinformatics; Clustering algorithms; Data mining; Information retrieval; Mutual information; Partitioning algorithms; Probability distribution; Random variables; Singular value decomposition; Text mining;
  • fLanguage
    English
  • Journal_Title
    Computing in Science & Engineering
  • Publisher
    ieee
  • ISSN
    1521-9615
  • Type

    jour

  • DOI
    10.1109/MCISE.2003.1238704
  • Filename
    1238704
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=809435