• DocumentCode
    494302
  • Title

    Large-scale dataset cascading clustering by item set and space decomposition

  • Author

    Melnyk, Roman ; Tushnytskyy, Ruslan

  • Author_Institution
    Software Dept., Lviv Polytech. Nat. Univ., Lviv
  • fYear
    2009
  • fDate
    22-24 April 2009
  • Firstpage
    93
  • Lastpage
    95
  • Abstract
    In the paper two clustering approaches based on decomposition of item set and space are considered. Some investigation was held to compare the algorithm accuracy and complexity. The test results for some criteria functions are presented.
  • Keywords
    pattern clustering; statistical analysis; item set; large-scale dataset cascading clustering; space decomposition; Clustering algorithms; Hypercubes; Image processing; Instruments; Large-scale systems; Micromechanical devices; Pattern analysis; Pattern recognition; Process design; Testing; clusters; dataset clustering; decomposition; hierarchical algorithm; hypercube; pattern keys;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Perspective Technologies and Methods in MEMS Design, 2009. MEMSTECH 2009. 2009 5th International Conference on
  • Conference_Location
    Zakarpattya
  • Print_ISBN
    978-966-2191-06-6
  • Type

    conf

  • Filename
    5069718
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=494302