linear discriminant function

Firstly this paper introduced the principle of Fisher linear discriminant function, and then present the Subspace LDA algorithm which project the data that is in high dimension space to eigenspace that is in low space and then maximize discriminant coefficient.

本文介绍了Fisher线性判别准则原理和实现过程，然后引入Subspace LDA方法，用PCA将高维图像数据投影到低维的特征脸空间，再用LDA最大化判别系数。

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