3D对视觉聚类分析真的有意义吗?是的!

B. Wang, K. Mueller
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引用次数: 12

摘要

我们的论文认为,三维阴影显示可以为高维数据的可视化添加大量的信息。我们认为,它更好地利用了人类视觉系统与生俱来的高度优化的识别和推理三维形状信息的认知能力。作为第一步,我们研究了各种现实世界的数据集,并证实了从传统的2D空间到3D空间的扩展确实是合理的——我们研究的大多数数据集都有驻留在具有两个以上重要主成分的子空间中的簇。然后,我们描述了一个交互界面,允许用户导航这些3D子空间,将探索扩展到更高的维度,并在数据中不同集群所居住的不同子空间之间进行转换。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Does 3D really make sense for visual cluster analysis? yes!
Our paper takes the stance that a 3D shaded display can add a significant amount of information to the visualization of high-dimensional data. We believe that it makes better use of the innate cognitive capabilities of the human visual system which is highly optimized to recognize and reason with 3D shape information. As a first step we studied a variety of real-world datasets and confirmed that the extension from the traditional 2D space to 3D space is indeed justified - most datasets we studied had clusters residing in subspaces with more than two significant principal components. We then describe an interactive interface that allows users to navigate these 3D subspaces, expand the exploration to higher dimensionalities, and also transition among the distinct subspaces inhabited by different clusters in the data.
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