| Glover F., Improved Linear and Integer Programming Models for Discriminant Analysis, in Creative and Innovative Approaches to the Science of Management, edited by Ijiri Y., Quorum Books, Westport, CT, 1993. |
....(ffl=2) Also note that the choice of objective is arbitrary at this point if the sets are separable, we care only to find a separating hyperplane. There are many modifications we can make to this formulation in order to bias the hyperplane towards one set or the other (for example, see Glover [20] or Bennett and Mangasarian [5] This linear programming formulation is infeasible if there is no separating hyperplane. If we find the minimum weight I IS cover, we have found the minimum weight subset of points which must be removed from the system in order for a feasible solution to be found. ....
Glover F., Improved Linear and Integer Programming Models for Discriminant Analysis, in Creative and Innovative Approaches to the Science of Management, edited by Ijiri Y., Quorum Books, Westport, CT, 1993.
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