Minimizing Misclassifications in Linear Discriminant Analysis*
提出一种方法，用于确定两群体线性判别分类器，使训练样本中误分类的观测数最少，实验验证了该方法的有效性。
ABSTRACT A procedure is developed for determining two‐group linear discriminant classifiers that misclassify the fewest number of observations in the training sample. An experimental study confirms the value of this approach.