Manual Controls For High-Dimensional Data Projections

Dianne Cook, Department of Statistics, Iowa State University, Ames, IA 50011-1210

Andreas Buja, AT&T Laboratories, Florham Park, NJ 07932-0971

Abstract

Projections of high-dimensional data onto low-dimensional subspaces provide insightful views for understanding multivariate relationships. In this paper we discuss how to manually control the variable contributions to the projection. The user has the control of the way a particular variable contributes to the viewed projection and can interactively adjust the variable's contribution. These manual controls complement the automatic views provided by a grand tour, or a guided tour, and give improved flexibility to the user during a data analysis.


Figures

Figure 1 (postscript)

Figure 2 (postscript) This figure was actually generated with XGobi and then annotated. Here is the data file used: data file , lines file

Figure 3 (postscript) This figure was also actually generated with XGobi and then annotated. Here is the data file used: data file , lines file

Figure 4 (postscript)

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Figure 9 (postscript)


S Functions for Preprocessing Special Data for Manipulation


More information on XGobi

Dianne Cook, Dept of Statistics, ISU, 323 Snedecor Hall, Ames, IA 50011-1210
Tel: (515) 294 8865, Fax: (515) 294 4040
email: dicook@iastate.edu
http://www.public.iastate.edu/~dicook/

Last revision: Sat Nov 28 00:28:32 CST 1998