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
Link To Document :
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