PCA主元分析法进行特征提取，再进行人脸识别- 下载
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这是一个人脸识别PCA的主元分析法,里面是专门介绍PCA的,可以很深入的了-This is a face recognition PCA principal component analysis, which is devoted to the PCA, can be a very in-depth 下载
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利用主元分析识别人脸的两篇论文。对于理解PCA算法非常有价值.- 下载
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结合PCA+LDA的图像识别算法VC封装类,PCA（主元素分析，光照敏感）,可用于人脸识别的初级算法-combination of image recognition algorithm VC Packaging category, PCA (principal component analysis, Light-sensitive), can be used for the initial face recognition algorithm 下载
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支持向量机(SVM)、线形鉴别分析(LDA)、主分量分析(PCA)和人工神经元网络(ANN)源代码- 下载
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高斯列主元消元法的实验报告和源程序，里面还有一点误差分析-out PCA Gaussian Elimination Act of experimental reports and sources, there is also 1:00 Error Analysis 下载
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数值分析中的求解算法 全主元高斯消去法 已经过编译测试-numerical analysis of the whole algorithm PCA Gaussian Elimination Act has been compiled test 下载
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本程序是应用数值分析对线性多元方程组的一种解法……高斯列主元消去法，把系数阵A进行对角化，再从下层至上层逐一求解。有问题请联系13709828698，李。 -this program is the application of numerical analysis of multi-linear equations of a solution ... out PCA Gaussian Elimination Act, A coefficient matrix put right for keratosis, from the upper to the lower deck one by one to solve. Problems please contact 13709828698 and Lee. 下载
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本人的数值分析课程设计 ，比较完整！Gauss顺序消去法与Gauss列主元消去法是计算机上常用来求解线性方程组的一种直接的方法。就是在不考虑舍入误差的情况下，经过有限步的四则运算可以得到线性方程组的准确解的一类方法。-Numerical analysis of the curriculum design, a relatively complete! Gauss law and order eliminate Gauss out PCA elimination method is commonly used computers to solve linear equations in a direct way. Is not consider rounding error of circumstances, and after limited to the four-step operation can be linear equations the exact solutions of a class method. 下载
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数值分析－列选主元求解方程组 //n 整型变量。方程组的阶数 //a 双精度实型二维数组，体积为n*n。存放方程组的系数矩阵，返回时将被破坏。 //b 双精度实型一维数组，长度为n，存放方程组右端的常数向量；返回方程组的解向量。 //本函数返回整型标志值。若返回的标志值为0,则表示原方程组的系数矩阵奇异，输出信息“fail”；若返回的标志值不为0,则表示正常返回。-Numerical Analysis-out election PCA solving equations / / n integer variables. Equations of bands / / a double precision real-dimensional array, the volume of n * n. The storage equation coefficient matrix, the return would be compromised. / / B double precision real-one-dimensional arrays, length n, storage equations subguadratic constant vector; Return to the solution of the equations vector. / / This function returns integer values signs. If the return value of 0 signs, the group said the original equation coefficient matrix, the output information "fail"; if the return value is not a sign of 0, then return to normal. 下载
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