Extension of linear discriminant function on non - guass data 线性判别在非高斯数据上的推广
We can directly classify new subjects by fisher linear discriminant functions 通过fisher判别函数可以对被试直接进行鉴别分类。
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subspacelda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。