Visualization on Agglomerative Information Bottleneck Based Trajectory Clustering

被引:2
作者
Fan, Yang [1 ]
Xu, Qing [1 ]
Guo, Yuejun [1 ]
Liang, Sheng [1 ]
机构
[1] Tianjin Univ, Sch Comp Sci & Technol, Tianjin, Peoples R China
来源
2015 19TH INTERNATIONAL CONFERENCE ON INFORMATION VISUALISATION IV 2015 | 2015年
关键词
Trajectory clustering; visual analysis; Information Bottleneck; 3D visualization;
D O I
10.1109/iV.2015.98
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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.
引用
收藏
页码:557 / 560
页数:4
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