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Features in Continuous Parallel Coordinates

机译:连续平行坐标中的特征

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Continuous Parallel Coordinates (CPC) are a contemporary visualization technique in order to combine several scalar fields, given over a common domain. They facilitate a continuous view for parallel coordinates by considering a smooth scalar field instead of a finite number of straight lines. We show that there are feature curves in CPC which appear to be the dominant structures of a CPC. We present methods to extract and classify them and demonstrate their usefulness to enhance the visualization of CPCs. In particular, we show that these feature curves are related to discontinuities in Continuous Scatterplots (CSP). We show this by exploiting a curve-curve duality between parallel and Cartesian coordinates, which is a generalization of the well-known point-line duality. Furthermore, we illustrate the theoretical considerations. Concluding, we discuss relations and aspects of the CPC's/CSP's features concerning the data analysis.
机译:连续平行坐标(CPC)是一种当代的可视化技术,用于合并在一个公共域上给出的多个标量场。通过考虑平滑的标量场而不是有限数量的直线,它们有助于对平行坐标进行连续查看。我们显示,CPC中有一些特征曲线,似乎是CPC的主要结构。我们提供了提取和分类它们的方法,并展示了它们在增强CPC可视化方面的有用性。特别是,我们表明这些特征曲线与连续散点图(CSP)中的不连续性有关。我们通过利用平行坐标和笛卡尔坐标之间的曲线对偶来证明这一点,这是众所周知的点线对偶的概括。此外,我们说明了理论上的考虑。最后,我们讨论了CPC / CSP功能有关数据分析的关系和方面。

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