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Visualization on Agglomerative Information Bottleneck Based Trajectory Clustering

机译:基于轨迹聚类的凝聚信息瓶颈的可视化

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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.
机译:毫无疑问,轨迹聚类输出的可视化是非常重要的,并且已经在集群结果的可视化上进行了一些研究。重要的是,关于可视化聚类程序的研究,这也是很大的价值。在本文中,我们提出了一种新颖的3D可视化工具,其全面地说明了基于群集信息瓶颈(AIB)的聚类方案,以帮助用户生动地清楚地了解聚类方法。所提出的隐喻的重点利用可视化,以及丰富的相互作用,以展示迭代聚类过程,相应的结果和聚类结果。实验表明了我们3D可视化工具进行轨迹分析的有效性。

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