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PubMed · 8947658

An optimization model for constrained discriminant analysis and numerical experiments with iris, thyroid, and heart disease datasets.

R J Gallagher·E K Lee·D A Patterson
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Abstract

A nonlinear 0/1 mixed integer programming model is presented for a constrained discriminant analysis problem. The model enables controlling misclassification probabilities by placing restrictions on the numbers of misclassifications allowed among the training entities and incorporating a "reserved-judgment" region to which entities whose classifications are difficult to determine may be allocated. A linearization of the model is given, and preliminary numerical results for two medical and one non medical domain are presented.

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Databases, FactualDiscriminant AnalysisHeart DiseasesLinear ModelsModels, TheoreticalNonlinear DynamicsPlantsThyroid GlandJournal ArticleResearch Support, U.S. Gov't, Non-P.H.S.Research Support, U.S. Gov't, P.H.S.

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R J Gallagher, E K Lee, D A Patterson. 1996. An optimization model for constrained discriminant analysis and numerical experiments with iris, thyroid, and heart disease datasets.. https://pubmed.ncbi.nlm.nih.gov/8947658/

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