Author(s): Jeffrey T. LeBlanc and Matthew O. Ward, Computer Science Department, Worcester Polytechnic Institute, Worcester, MA 01609

Source: 1992 Workshop on Multivariate, Multidimensional Visualization at Visualization '92.

Abstract: Dimensional Stacking is a technique for the display of high-dimensional data involving the recursive embedding of pairs of dimensions within one another. This paper describes strategies and techniques for searching a data set displayed in this manner to uncover structure. The process, analogous to television channel selection and fine tuning, creates a simple yet powerful environment for examining data. Examples of the use of the system are shown and a comparison to projection pursuit techniques is presented. The effects of adapting traditional image processing algorithms to operate on the n-dimensional data is also shown, as well as how they can be used in conjunction with the display system to guide the data analysis.