Maximum Resolution Topology for Multi-Attribute Dichotomies

Authors:
James K. Ho;Sydney C. K. Chu
Affiliations:
Information & Decision Sciences, College of Business Administration, University of Illinois at Chicago, Chicago, IL 60091 USA, e-mail: jimho@uic.edu;Operations Research Group, Department of Mathematics, University of Hong Kong, Hong Kong SAR, China, e-mail: schu@hku.hk
Venue:
Informatica
Year:
2005

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Abstract

The Star Plot approach to high-dimensional data visualization is applied to multi-attribute dichotomies. It is observed that the areas of the plot for the two parts of a dichotomy may be used as an aggregate measure of their relative dominance. An optimization model is developed to determine a topology (or weighted configuration of the attributes) that maximizes the resolution of this measure with respect to a given set of reference dichotomies.