• DocumentCode
    2391160
  • Title

    BEADS: High dimensional data cluster visualization

  • Author

    Vadapalli, Soujanya ; Karlapalem, Kamalakar

  • Author_Institution
    Centre for Data Eng., Int. Inst. of Inf. Technol.-Hyderabad, Hyderabad, India
  • fYear
    2009
  • fDate
    12-13 Oct. 2009
  • Firstpage
    235
  • Lastpage
    236
  • Abstract
    In this poster paper, we present BEADS, a high dimensional data cluster visualization by having a 2-D representation of shape and spread of the cluster. The Cluster Division component, the Bead Shape Identification and Cluster Shape Composition form the core of the system. BEADS visualization consists of a 2-D plot, standard 2-D shapes which are used as metaphors to represent corresponding high-dimensional shapes of beads. The final resulting images convey the relative placement of beads with respect to the cluster center, the shape of the beads. We give a textual summary of the beads and their 2-D placement on the Beads plot in tabular format along with the image.
  • Keywords
    data visualisation; pattern clustering; 2D shape representation; BEADS; beads shape identification; cluster division component; cluster shape composition; high dimensional data cluster visualization; shape 2-D representation; Clustering algorithms; Computer displays; Data engineering; Data visualization; Image representation; Partitioning algorithms; Shape; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Analytics Science and Technology, 2009. VAST 2009. IEEE Symposium on
  • Conference_Location
    Atlantic City, NJ
  • Print_ISBN
    978-1-4244-5283-5
  • Type

    conf

  • DOI
    10.1109/VAST.2009.5333417
  • Filename
    5333417