Author(s): Matthew O. Ward, Computer Science Department, Worcester Polytechnic Institute, Worcester, MA 01609, Jeffrey T. LeBlanc, Hewlett-Packard Company, Medical Products Group, Waltham, MA USA 02254, and Rajeev Tipnis, Sonitech International, Inc., Wellesley, MA USA 02181

Source: Proc. Computer Graphics International Conference, Melbourne, Australia, June, 1994.

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. A semi-automated technique, which we call data-driven view selection , is also presented. Examples of the use of the system are shown and a comparison to projection pursuit techniques is presented. Several methods of view enhancement are also described, along with a study of the effects of adapting traditional image processing algorithms to operate on the N-dimensional data.