Hyperdimensional Data Analysis Using Parallel Coordinates
本文介绍了平行坐标作为高维数据分析工具的基本结果，包括算法、投影变换性质、对偶性及其在数据分析中的解释，并讨论了轴排列、扩展及实现经验。
Abstract This article presents the basic results of using the parallel coordinate representation as a high-dimensional data analysis tool. Several alternatives are reviewed. The basic algorithm for parallel coordinates is laid out and a discussion of its properties as a projective transformation is given. Several duality results are discussed along with their interpretations as data analysis tools. Permutations of the parallel coordinate axes are discussed, and some examples are given. Some extensions of the parallel coordinate idea are given. The article closes with a discussion of implementation and some of my experiences.