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Hyperdimensional Data Analysis Using Parallel Coordinates
Edward J. Wegman
Journal of the American Statistical Association
Vol. 85, No. 411 (Sep., 1990), pp. 664-675
Stable URL: http://www.jstor.org/stable/2290001
Page Count: 12
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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.
Journal of the American Statistical Association © 1990 American Statistical Association