• DocumentCode
    1551736
  • Title

    HD-Eye: visual mining of high-dimensional data

  • Author

    Hinneburg, Alexander ; Keim, Daniel A. ; Wawryniuk, Markus

  • Author_Institution
    Inst. of Comput. Sci., Halle Univ., Germany
  • Volume
    19
  • Issue
    5
  • fYear
    1999
  • Firstpage
    22
  • Lastpage
    31
  • Abstract
    Clustering in high-dimensional databases poses an important problem. However, we can apply a number of different clustering algorithms to high-dimensional data. The authors consider how an advanced clustering algorithm combined with new visualization methods interactively clusters data more effectively. Experiments show these techniques improve the data mining process
  • Keywords
    data mining; data visualisation; very large databases; HD-Eye; data clustering; data visualization; high-dimensional databases; very large databases; visual data mining; Clustering algorithms; Data mining; Data visualization; Density functional theory; Displays; Kernel; Multidimensional systems; Particle separators; Principal component analysis; Statistical analysis;
  • fLanguage
    English
  • Journal_Title
    Computer Graphics and Applications, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1716
  • Type

    jour

  • DOI
    10.1109/38.788795
  • Filename
    788795