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I present an expectation-maximization (EM) algorithm for principal component analysis (PCA).
对应分析correspondence analysis(ANACOR) [G,F,A]=ANACOR(X)，X为原始数据 p X n维 即有n个样本，每个样本由p个变量来描述。返回F为R型因子分析后的结果，Q为最后的结果,A=ZZ 。
FACE RECOGNITION USING PRINCIPAL COMPONENTS ANALYSIS task. To this package four options for the algorithms, ...
Linear Discriminant Analysis算法，此压缩包中已经带有大量train和test的相关图片，用于做人脸识别。LDA算法也可以用于其他领域如语音信号处理，此代码仅供研究，请勿用于商业！
Analysis and Design of Analog integrated circuit 4th的习题答案
资料->【E】光盘论文->【E1】斯坦福博士论文->05 calgary PhD High-Senstivity GPS L1 Signal Analysis for Indoor Channel Modelling.pdf
资料->【E】光盘论文->【E1】斯坦福博士论文->04 Ohio PhD Analysis of Error Propagation in Differential Satellite Based Positioning Systems....
资料->【C】嵌入系统->【C5】Matlab仿真->【0】Matlab基础入门->Matlab - Engineering Analysis, Interactive Methods and Programs With FORTRAN Q...