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Visualization on Agglomerative Information Bottleneck Based Trajectory Clustering

机译:基于聚集信息瓶颈的轨迹聚类的可视化

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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非常重要,并且已经对聚类结果的可视化进行了一些研究。仍然重要的是,关于聚类过程的可视化的研究也很有价值,它也很有价值。在本文中,我们提出了一种新颖的3D可视化工具,该工具全面说明了基于聚集信息瓶颈(AIB)的聚类方案,以帮助用户生动,清晰地理解聚类方法。所提出的隐喻的要点是利用可视化以及丰富的交互作用来演示迭代聚类过程,相应的结果和聚类结果。实验证明了我们的3D可视化工具进行轨迹分析的有效性。

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