General mathematical programming formulations for the statistical classification problem

Authors:
William V. Gehrlein
Affiliations:
Department of Business Administration, University of Delaware, Newark, DE 19716, USA
Venue:
Operations Research Letters
Year:
1986

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Abstract

The study presents mathematical programming formulations for the statistical classification problem. The formulations maximize the number of observations that are properly categorized. The models are easily modified for any number of categories of classification. The formulation were tested on a standard problem.