• DocumentCode
    3376735
  • Title

    The application of V-system in visualization of multidimensional data

  • Author

    Song, Ruixia ; Zhao, Zhaoxia ; Wang, Xiaochun

  • Author_Institution
    Coll. of Sci., North China Univ. of Technol., Beijing, China
  • fYear
    2009
  • fDate
    19-21 Aug. 2009
  • Firstpage
    170
  • Lastpage
    173
  • Abstract
    Chernoff face is a technique of multidimensional data visualization in multivariate statistics. This paper proposes a new method to quantify the overall features of Chernoff faces, and presents a new programmed method for clustering Chernoff faces. Using this method misjudgment caused by human eyes can be avoided. Moreover, people can further evaluate the samples if the evaluation standard is given. The results of the experimental tests indicate that this method is effective and useful.
  • Keywords
    data visualisation; face recognition; pattern clustering; statistical analysis; Chernoff face clustering; Chernoff face technique; V-system; multidimensional data visualization; multivariate statistics; Data visualization; Educational institutions; Eyes; Face; Forestry; Humans; Multidimensional systems; Space technology; Statistics; Testing; Chernoff faces; Clustering; Data visualization; V-system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Design and Computer Graphics, 2009. CAD/Graphics '09. 11th IEEE International Conference on
  • Conference_Location
    Huangshan
  • Print_ISBN
    978-1-4244-3699-6
  • Electronic_ISBN
    978-1-4244-3701-6
  • Type

    conf

  • DOI
    10.1109/CADCG.2009.5246911
  • Filename
    5246911