Affiliation:
1. College of Business, University of Texas at San Antonio, USA
Abstract
Mathematical programming models for discriminant and classification analysis are presented. Specifically, linear programming and mixed integer programming approaches are discussed. For each approach, two-class classification models and multi-class classification models are discussed. The emphasis is on the formulations of these mathematical programming models rather than on their performances. Two illustrative examples, one for two-class and the other for multi-class classification, are used to demonstrate the formulations of these mathematical programming models. An example is used to demonstrate the formulation after a mathematical programming model is presented.
Cited by
1 articles.
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1. Support Vector Machine Models for Classification;Encyclopedia of Business Analytics and Optimization;2014