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: | Gallagher Richard J., Lee Eva K., Patterson David A. |
Keywords: | statistics: multivariate |
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.