• DocumentCode
    2290769
  • Title

    Variable density spatial data clustering

  • Author

    Prasad, Rabinder Kumar ; Sarmah, Rosy

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Tezpur Univ., Tezpur, India
  • fYear
    2011
  • fDate
    15-17 Sept. 2011
  • Firstpage
    53
  • Lastpage
    58
  • Abstract
    This paper presents an effective clustering method which can detect embedded and nested clusters over variable density space. The proposed method, VDSC uses a density based approach for detecting clusters of arbitrary shapes, sizes and densities. VDSC was compared with several other comparable algorithms and the experimental results show that our method could detect all clusters effectively.
  • Keywords
    data mining; pattern clustering; density based approach; embedded clusters; nested clusters; variable density spatial data clustering; Clustering algorithms; Clustering methods; Digital video broadcasting; Noise; Optics; Tuning; core distance; density based clusters; variable density;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Communication Technology (ICCCT), 2011 2nd International Conference on
  • Conference_Location
    Allahabad
  • Print_ISBN
    978-1-4577-1385-9
  • Type

    conf

  • DOI
    10.1109/ICCCT.2011.6075127
  • Filename
    6075127
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2290769