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Maximum Resolution Topology for Multi-Attribute Dichotomies
Volume 16, Issue 4 (2005), pp. 557–570
James K. Ho   Sydney C.K. Chu  

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https://doi.org/10.15388/Informatica.2005.115
Pub. online: 1 January 2005      Type: Research Article     

Received
1 February 2005
Published
1 January 2005

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.

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Keywords
multi-attribute dichotomy data visualization aggregate measure value function optimization exploratory data analysis data mining

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INFORMATICA

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