Abstract
Recently, linear programming approaches to classification problems have been widely studied and have been shown to yield satisfactory results. However, those linear programming model do not incorporate discriminating information about objects within groups. In order to utilize within group variations, an approach is presented which directly incorporates membership probabilities in a linear goal programming model.
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