• DocumentCode
    3657983
  • Title

    Visualization on Agglomerative Information Bottleneck Based Trajectory Clustering

  • Author

    Yang Fan;Qing Xu;Yuejun Guo;Sheng Liang

  • Author_Institution
    Sch. of Comput. Sci. &
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    557
  • Lastpage
    560
  • Abstract
    Undoubtedly, visualization of the trajectory clustering outputs is very important and some researches have been done on visualization of the clustering results. Still importantly, the research on visualizing the procedure of clustering, which is also of great value, is little touched. In this paper, we propose a novel 3D visualization tool, which comprehensively illustrates the Agglomerative Information Bottleneck (AIB) based clustering scheme, to help users understand the clustering approach vividly and clearly. The point of the proposed metaphor makes use of the visualization, together with rich interactions, to demonstrate the iterative clustering procedure, the corresponding results and the clustering results. The experiment demonstrates the effectiveness of our 3D visualization tool for trajectory analysis.
  • Keywords
    "Trajectory","Three-dimensional displays","Image color analysis","Visualization","Data visualization","Color","Market research"
  • Publisher
    ieee
  • Conference_Titel
    Information Visualisation (iV), 2015 19th International Conference on
  • ISSN
    1550-6037
  • Type

    conf

  • DOI
    10.1109/iV.2015.98
  • Filename
    7272657