• DocumentCode
    119505
  • Title

    A multidimensional brush for scatterplot data analytics

  • Author

    Aupetit, Michael ; Heulot, Nicolas ; Fekete, Jean-Daniel

  • Author_Institution
    Qatar Comput. Res. Inst., Doha, Qatar
  • fYear
    2014
  • fDate
    25-31 Oct. 2014
  • Firstpage
    221
  • Lastpage
    222
  • Abstract
    Brushing is a fundamental interaction for visual analytics. A brush is usually defined as a closed region of the screen used to select data items and to highlight them in the current view and other linked views. Scatterplots are also standard ways to visualize values for two variables of a set of multidimensional data. We propose a technique to brush and interactively cluster multidimensional data navigating through a single of their scatterplot projection.
  • Keywords
    data analysis; data visualisation; pattern clustering; multidimensional brush; multidimensional data interactive clustering; scatterplot data analytics; scatterplot projection; visual analytics; Brushes; Data visualization; Image color analysis; Lenses; Mice; Standards; Visual analytics; Visual analytics; axis-parallel projection; brushing; multidimensional data; scatterplot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/VAST.2014.7042500
  • Filename
    7042500