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Matlab工具箱drtoolbox.tar.gz
- （PCA LDA LLE）各种降维方法Matlab工具箱
pattern-recognition-simulation
- 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.
MPCALDA
- 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.
hLDAAandPCCAe
- 站长！这是使用LDA与PCA模式识别方法对人脸特征进行提提取计算的Matlab程序源码框架，比较好！ 可直接使用。 -Webmaster! This is the use of LDA and PCA pattern recognition method of facial feature to mention take calculated Matlab program source framework and better! Can be used directly.
PCA-and-LDA-Face-recognition
- 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
LDAgdm
- 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