Constrained discriminant analysis via 0/1 mixed integer programming

Constrained discriminant analysis via 0/1 mixed integer programming

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Article ID: iaor19981883
Country: Netherlands
Volume: 74
Issue: 1
Start Page Number: 65
End Page Number: 88
Publication Date: Nov 1997
Journal: Annals of Operations Research
Authors: , ,
Keywords: statistics: multivariate
Abstract:

A nonlinear 0/1 mixed integer programming model is presented for a constrained discriminant analysis problem. The model places restrictions on the numbers of misclassifications allowed among the training entities, and incorporates a ‘reserved judgment’ region to which entities whose classifications are difficult to determine may be allocated. Two linearizations of the model are given – one heuristic and one exact. Numerical results from real-world machine-learning datasets are presented.

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