基于平行坐标的高维数据可视化算法研究

Research on Visualization Algorithm of High-dimensional Data Based on Parallel Coordinates

由于大数据时代的多维数据的普及,多维数据的可视化和可视化分析对于数据模式的发现至关重要。平行坐标图主要用于对同一组的不同属性进行可视化分析。可视化多维高维数据的常用方法是使用平行坐标图。但是,这些方法由于边的重叠导致视觉混淆从而无法有效地表达数据信息和检测模式。该文设计了一个高维数据可视化算法,基于边捆绑的平行坐标图,并对其进行重新排列,有效地提高了高维数据的理解和视觉分析能力。

Due to the popularity of multidimensional data in the era of big data, the visualization and visual analysis of multidimen-sional data is crucial for the discovery of data patterns. The parallel coordinates are mainly used to visualize the different attributesof the same group. A common way to visualize multidimensional high-dimensional data is to use parallel coordinates. However,these methods can't effectively express the data information and the detection mode due to the visual confusion caused by the over-lap of the edges. In this paper, a high-dimensional data visualization algorithm is designed, which is based on the side-bound par-allel coordinates and rearranges them. It effectively improves the ability of high-dimensional data understanding and visual analy-sis.