• DocumentCode
    2398102
  • Title

    Hierarchical Clustering Algorithms for Large Datasets

  • Author

    Stekh, Yuri ; Kernytskyy, A. ; Lobur, Mykhaylo

  • Author_Institution
    Lviv Polytech Nat. Univ., Lviv
  • fYear
    2006
  • fDate
    Feb. 28 2006-March 4 2006
  • Firstpage
    388
  • Lastpage
    390
  • Abstract
    This paper focuses on document clustering algorithms that build hierarchical solutions. In this paper is evaluate the performance of different criterion functions for the problem of clustering documents.
  • Keywords
    document handling; pattern clustering; document clustering algorithms; document datasets; hierarchical clustering algorithms; Clustering algorithms; Euclidean distance; Frequency measurement; Length measurement; Navigation; Organizing; Visualization; Clustering algorithm; Criterion function; Document datasets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modern Problems of Radio Engineering, Telecommunications, and Computer Science, 2006. TCSET 2006. International Conference
  • Conference_Location
    Lviv-Slavsko
  • Print_ISBN
    966-553-507-2
  • Type

    conf

  • DOI
    10.1109/TCSET.2006.4404560
  • Filename
    4404560
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2398102