Matlab code for describing linear discriminant analysis

代码基于Matlab软件，讲述了大量数学方法的应用思路和过程。内容涉及回归分析、主成分分析、因子分析、聚类分析、判别分析、时（空）间序列分析、Markov链、R/S分析、线性规划、层次分析法以及人工神经网络建模等方法。通过模仿本书讲授的计算过程，读者可以加深对有关数学方法的认识和理解，并且掌握很多Matlab的应用技巧。代码规范，可研究价值高。 　-Code based on the Matlab software, tells the story of a large number of

matlab对于线性判别分析的代码，过程详细易懂，相信对大家有用。-matlab code for linear discriminant analysis, to understand the process in detail, we believe to be useful.

Face recognition written in MATLAB. This code implements Fisher s Discriminant Analysis and SVMs using LIBSVM.-The motivation of this project is to implement several techniques for face recognition: Principal Component Analysis Fisher’s Linear