用mushrooms数据对模式识别课程讲述的各种模式分类方法[线性分类，Bayesian分类，Parzen窗，KNN]和特征选择和降维方法[PCA,LDA]进行了模拟，并给出了各类分类方法的结果，-It s the simulations about linear classification ,Bayesian ,Parzen and KNN of pattern recognition .And ,It gives the results.

编程是由pca和lda结合的脸部特征提取，用于三维图像。-multilinear principal component analysis combined with Linear discriminant analysis 3D face feature extraction.

运用PCA和LDA进行人脸识别的MATLAB代码 -do the face recognition use the principal component analysis and linear discriminant analysis

详细说明:使用matlab实现的LDA(线性判别分析)分类器,以及PCA的实现-matlab implementation of the LDA algorithm and the realization of the linear Discriminant Analysis