In this paper, we introduce the cyclic polygon plot, a representation based on a novel projection concept for multi-dimensional values. Cyclic polygon plots combine the typically competing requirements of quantitativeness, image-space efficiency, and readability. Our approach is complemented with a placement strategy based on its intrinsic features, resulting in a dimensionality reduction strategy that is consistent with our overall concept. As a result, our approach combines advantages from dimensionality reduction techniques and quantitative plots, supporting a wide range of tasks in multi-dimensional data analysis. We examine and discuss the overall properties of our approach, and demonstrate its utility with a user study and selected examples.

翻译：本文提出了一种基于新型投影概念的多维数值表示方法——循环多边形图。该图同时兼顾了定量性、图像空间效率与可读性这些通常相互冲突的需求。我们基于其固有特征设计了布局策略，从而构建出与整体概念一致的数据降维方案。该方法融合了降维技术与定量可视化的优势，能够支持多维数据分析中的广泛任务。我们系统探讨了该方法的整体特性，并通过用户实验与实例分析验证其实用价值。