Characterization of Unacceptable Solutions in LP Discriminant Analysis*
刻画了所有两组线性规划判别模型中导致不可接受解的条件，为改进模型提供依据。
ABSTRACT Many linear programming models have been proposed for performing discriminant analysis. Partial characterizations for unacceptable solutions have been presented and new models proposed to circumvent these problems. In this paper those conditions leading to unacceptable solutions for all two‐group models are characterized.