Angle-uniform parallel coordinates
作者机构：School of Computer Science and TechnologyShandong UniversityQingdao 266237China National Institute of Health Data SciencePeking UniversityBeijing 100191China Visualization Research Center(VISUS)University of Stuttgart70569 StuttgartGermany
出 版 物：《Computational Visual Media》 (计算可视媒体（英文版）)
年 卷 期：2023年第9卷第3期
页 面：495-512页
核心收录：
学科分类：081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：support from the Data for Better Health Project of Peking University-Master Kong,YW from the National Natural Science Foundation of China(62132017) DW from the Deutsche Forschungsgemeinschaft(DFG)Project-ID 251654672-TRR 161
主 题：parallel coordinates multidimensional data deformation correlations
摘 要：We present angle-uniform parallel coordinates,a data-independent technique that deforms the image plane of parallel coordinates so that the angles of linear relationships between two variables are linearly mapped along the horizontal axis of the parallel coordinates *** being a common method for visualizing multidimensional data,parallel coordinates are ineffective for revealing positive correlations since the associated parallel coordinates points of such structures may be located at infinity in the image plane and the asymmetric encoding of negative and positive correlations may lead to unreliable *** address this issue,we introduce a transformation that bounds all points horizontally using an angleuniform mapping and shrinks them vertically in a structure-preserving fashion;polygonal lines become smooth curves and a symmetric representation of data correlations is *** further propose a combined subsampling and density visualization approach to reduce visual clutter caused by *** method enables accurate visual pattern interpretation of data correlations,and its data-independent nature makes it applicable to all multidimensional *** usefulness of our method is demonstrated using examples of synthetic and real-world datasets.
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