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
Link To Document