子空间学习的代码，主要包括人脸识别中常用的特征提取算法如pca lda 以及目前常见的流行学习的相关代码-Subspace learning the code, mainly including commonly used in face recognition feature extraction algorithms such as pca lda and the current prevalence of common learning-related code

PCA特征提取。LDA降维的人脸识别代码。可用作为初学者使用。-PCA feature extraction. Face recognition code LDA dimensionality reduction. Available for beginners to use.

2D线性判别分析工具箱，该方法为Pattern recognition letters关于2DLDA的源码(2D linear discriminant analysis toolbox, which is the source code for Pattern recognition letters on 2DLDA)