haku: @author Choo, E. / yhteensä: 1
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| Tekijä: | Lam, K. Choo, E. Moy, J. |
| Otsikko: | Minimizing deviations from the group mean: a new linear programming approach for the two-group classification problem |
| Lehti: | European Journal of Operational Research
1996 : JAN 20, VOL. 88:2, p. 358-367 |
| Asiasana: | OPERATIONAL RESEARCH LINEAR PROGRAMMING METHODOLOGY |
| Kieli: | eng |
| Tiivistelmä: | This paper proposes a new linear programming approach to solve the two-group classification problem in discriminant analysis. This new approach is based on an idea from cluster analysis that objects within the same group should be more similar than objects between groups. Consequently, it is desirable for the classification score of an object to be nearer to its mean classification score, but further from the mean classification score of the other group. This objective is accomplished by minimizing the total deviation of the classification scores of the objects from their group mean scores in a linear programming approach. |
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