• DocumentCode
    119503
  • Title

    Detecting and tracking dynamic clusters of spatial events

  • Author

    Andrienko, Natalia ; Andrienko, Gennady ; Fuchs, Georg ; Stange, Hendrik

  • fYear
    2014
  • fDate
    25-31 Oct. 2014
  • Firstpage
    219
  • Lastpage
    220
  • Abstract
    We present a work in progress on developing a tool supporting real-time detection of significant clusters of spatial events and observing their evolution. The tool consists of an incremental stream clustering algorithm and coordinated map and timeline displays showing current situation and cluster evolution.
  • Keywords
    pattern clustering; cluster evolution; coordinated map; dynamic cluster detection; dynamic cluster tracking; incremental stream clustering algorithm; spatial event cluster; timeline displays; Clustering algorithms; Joining processes; Monitoring; Observers; Real-time systems; Shape; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/VAST.2014.7042499
  • Filename
    7042499