search query: @author Erenguc, S. S. / total: 6
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| Author: | Koehler, G. J. Erenguc, S. S. |
| Title: | Minimizing misclassifications in linear discriminant analysis |
| Journal: | Decision Sciences
1990 : WINT. VOL. 21:1, p.63-83 |
| Index terms: | MATHEMATICAL PROGRAMMING MIXED INTEGER PROGRAMMING |
| Language: | eng |
| Abstract: | Discriminant analysis is used for two purposes: (1) to classify observations into mutually exclusive groups and (2) to explain differences between these groups based on observable attributes. The present paper develops a procedure for determining two-group linear discriminant classifiers that misclassify the minimal number of observations in the training examples. An experimental study confirms the value of the approach. |
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