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Fractal Map: Fractal-Based 2D Expansion Method for Multi-scale High-Dimensional Data Visualization

机译:分形图:用于多尺度高维数据可视化的基于分形的二维扩展方法

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Visualization of high-dimensional data is difficult to realize and manipulate with 2D display. For example, visualizing time-varying volume data (4D) with volume rendering and animation has spatial and temporal shielding, and data of 5 or more dimensions cannot be visualized on 2D display with existing methods. In this paper, we propose a method that expands high-dimensional data onto a 2D image plane. The proposed method uses the self-similarity of the fractal shape and achieves multi-scale high-dimensional data visualization on 2D display. With this method, we can visualize the entire domain of high-dimensional data without occlusions. Also, one-to-one correspondence in the elements of high-dimensional data and its 2D expansion enables us to manipulate high-dimensional data with 2D expanded result as an interface.
机译:高维数据的可视化很难通过2D显示来实现和操纵。例如,使用体积渲染和动画来可视化时变体积数据(4D)具有空间和时间屏蔽,并且无法使用现有方法在2D显示器上可视化5维或更大尺寸的数据。在本文中,我们提出了一种将高维数据扩展到2D图像平面上的方法。所提出的方法利用分形的自相似​​性,实现了二维显示的多尺度高维数据可视化。使用这种方法,我们可以可视化高维数据的整个域而不会发生遮挡。同样,高维数据及其2D扩展元素之间的一一对应关系使我们能够以2D扩展结果作为界面来处理高维数据。

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