This paper analyses the generalized optimal set of discriminant vectors, presents a grouped decision method based on generalized optimal set of discriminant vectors for linear feature extraction.

该文分析了广义最佳鉴别向量集，给出了基于用于线性特征抽取的广义最佳鉴别向量的分组决策方法。

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Then the problem of finding the optimal discriminant vectors subjected to such constraints is solved using the property that there exist a set of conjugate ort.

然后利用广义特征方程存在共轭正交的特征向量这一结论 ，巧妙地解决了该共轭正交条件下最优鉴别矢量集的求解问题 。

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