• DocumentCode
    2331746
  • Title

    An interactive view for hierarchical clustering

  • Author

    Wills, Graham J.

  • Author_Institution
    Lucent Technol., AT&T Bell Labs., Naperville, IL, USA
  • fYear
    1998
  • fDate
    19-20 Oct 1998
  • Firstpage
    26
  • Abstract
    The paper describes a visualization of a general hierarchical clustering algorithm that allows the user to manipulate the number of classes produced by the clustering method without requiring a radical re-drawing of the clustering tree. The visual method used, a space filling recursive division of a rectangular area, keeps the items under consideration at the same screen position, even while the number of classes is under interactive control. As well as presenting a compact representation of the clustering with different cluster numbers, this method is particularly useful in a linked views environment where additional information can be added to a display to encode other information, without this added level of detail being perturbed when changes are made to the number of clusters
  • Keywords
    data analysis; interactive systems; pattern clustering; program visualisation; cluster numbers; clustering method; clustering tree; compact representation; hierarchical clustering; interactive control; interactive view; linked views environment; radical re-drawing; rectangular area; space filling recursive division; visual method; visualization; Algorithm design and analysis; Animals; Binary trees; Clustering algorithms; Data analysis; Electronic mail; Identity-based encryption; Iris; Leg; Length measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Visualization, 1998. Proceedings. IEEE Symposium on
  • Conference_Location
    Research Triangle, CA
  • Print_ISBN
    0-8186-9093-3
  • Type

    conf

  • DOI
    10.1109/INFVIS.1998.729556
  • Filename
    729556