• DocumentCode
    568370
  • Title

    Improving Visualization of Large Hierarchical Clustering

  • Author

    Bisson, Gilles ; Blanch, Renaud

  • Author_Institution
    LIG Lab., UJF - Grenoble 1, Grenoble, France
  • fYear
    2012
  • fDate
    11-13 July 2012
  • Firstpage
    220
  • Lastpage
    228
  • Abstract
    The classical representation of a binary tree generated by a hierarchical clustering is a node-link-based visualization denoted as a dendrogram. It allows users to explore in a simple way the clusters and the relationships between instances. However, exploration of large dendrograms is known to be difficult due to the graphical and cognitive information overload involved. Here, we discuss the current approaches and we introduce Stacked Trees, a new Focus+Context visualization technique that allows the exploration of the hierarchical clustering of up to fifty thousands nodes on a standard-sized screen.
  • Keywords
    chemistry computing; data visualisation; pattern clustering; tree data structures; binary tree; cognitive information overload; dendrograms; focus-plus-context visualization technique; graphical information overload; hierarchical clustering visualization improvement; node-link-based visualization; stacked trees; Chemicals; Color; Context; Data visualization; Layout; Prototypes; Vegetation; Chemoinformatics; Data Mining; Hierarchical Clustering; Large Hierarchies; Stacked Trees;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Visualisation (IV), 2012 16th International Conference on
  • Conference_Location
    Montpellier
  • ISSN
    1550-6037
  • Print_ISBN
    978-1-4673-2260-7
  • Type

    conf

  • DOI
    10.1109/IV.2012.45
  • Filename
    6295817