A Visual Representation of Clusters Characteristics using Edge Bundling for Parallel Coordinates
A Visual Representation of Clusters Characteristics using Edge Bundling for Parallel Coordinates
复制标题
使用平行坐标的边捆绑来直观地表示簇特征
DOI：
10.1109/iv.2017.29
复制
发表时间：
2017
期刊：
影响因子：
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通讯作者：
B. Meiguins
中科院分区：
文献类型：
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作者：
R. Lima;Carlos G. R. Santos;B. Meiguins
本文提出了一种应用于平行坐标系的边捆绑方法，以改善直接从概览中显示聚类信息的可视化效果。属于聚类的线被捆绑到轴之间的单条曲线中，捆绑的水平和垂直位置在此处相交（称为捆绑控制点）来编码关于给定维度中的聚类的相关信息，诸如方差、标准差、均值、中值，假设是，将该信息添加到概览改善了可视化概览，同时它不损害其他视图中的理解。方面我们与参与者进行了测试，将我们的方法与经典的平行坐标和其他合并捆绑技术进行比较。结果表明，大多数最初提出的假设在研究结束时得到证实，因为大多数任务都成功地完成了任务，平均反应时间较低，并且根据参与者的意见，具有更多的美感。关键词边捆绑，并行坐标，数据聚类.
This paper proposes an edge bundling approach applied on parallel coordinates to improve the visualization of cluster information directly from the overview. Lines belonging to a cluster are bundled into a single curve between axes, where the horizontal and vertical positioning of the bundling intersection (known as bundling control points) to encode pertinent information about the cluster in a given dimension, such as variance, standard deviation, mean, median, and so on. The hypothesis is that adding this information to the overview improves the visualization overview at the same that it does not prejudice the understanding in other aspects. We have performed tests with participants to compare our approach with classic parallel coordinates and other consolidated bundling technique. The results showed most of the initially proposed hypotheses to be confirmed at the end of the study, as the tasks were performed successfully in the majority of tasks maintaining a low response time in average, as well as having more aesthetic pleasing according to participants’ opinion. KeywordsEdge Bundling, Parallel Coordinates, Data Clustering.