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27_142
- 矩阵计算的c++代码，本矩阵类实现了对矩阵的一些基本操作，比如 +, -, *，求逆等。 实现了矩阵的列主元LU分解，并利用它实现了线性代数方程组的直接解法；还有线性方程组的迭代解法。 另外定义了一些非数学上但经常用到的一些操作 比如两个矩阵对应元素的相乘、相除，对矩阵的每个元素求abs,sqrt等-matrix calculation of c code, the matrices of the matrix to achieve some basic tasks, such
mylu
- Gauss列主元消去法解线性方程组.mylu函数中，U0、L0、P0分别为Gauss列主元分解中得U，L，P.-out PCA Gauss elimination method for solving linear equations. Mylu function, U0, L0, P0 Gauss out of the main yuan decomposition in the U, L, P.
subspace
- 子空间分解matlab程序。采用PCA主成元分析方法。
feipca.rar
- 非线性PCA算法matlab程序段，完成独立分量分析的主分量分解,Non-linear PCA algorithm matlab program segment, the completion of independent component analysis of the principal component decomposition
pca
- 运用奇异值分解定理的PCA方法在ORL人脸库上进行人脸识别，分类器为最近邻分类器,-The use of singular value decomposition theorem of PCA method in ORL face database for face recognition, nearest neighbor classifier for the classifier,
empca2.tar
- 模式分类中应用到的PCA算法，包括其奇异值分解SVD算法。可用来降维提取主元素等。-pattern classification applied to the PCA algorithm, including its SVD singular value decomposition algorithm. Can be used to take down the main Viti Levu and other elements.
xxfc
- 全主元高斯约当消去法 2.LU分解法 3.追赶法 4.五对角线性方程组解法 5.线性方程组解的迭代改善 6.范德蒙方程组解法 7.托伯利兹方程组解法 8.奇异值分解 9.线性方程组的共轭梯度法 10.对称方程组的乔列斯基分解法 11.矩阵的QR分解 12.松弛迭代法-PCA-wide Gauss Jordan elimination method 2.LU decomposition method 3. To catch up with law 4.
GaussPivot
- 利用高斯列主元消去法进行LU分解，并求解方程组-PCA out Gaussian elimination method and LU decomposition to solve equation
xuanzhuyuanduliteer
- 对任意阶线性方程组进行独立特尔选主元分解，并解出未知数-Of linear equations of arbitrary order to conduct an independent Ritter election PCA decomposition, and solution out of unknowns
PCA
- 进行PCA分解，由迭代算法，算出得分向量和负荷向量-something about PCA
teacher_fortran
- LU分解法 修正的LU分解法 高斯全选主元法 雅克比矩阵等算法-LU decomposition LU decomposition method modified Gaussian Select PCA Fnac other than the matrix algorithm
Numerical-Analysis-5
- 这里面是数值分析作业的ＶＢ程序数值分析程序 线性方程 雅可比 高斯 迭代 二次及高次 线性微分方程 列主元及行主元高斯消元法 LU分解 插值法-This operation which is the numerical analysis numerical analysis program VB program Gaussian iterative linear Fangcheng Ya secondary and higher than linear differential column a
45
- 一个简单的图像稀疏分解的例子，用了PSO—PCA分解，得到了一个较好的重构图像-A simple example of image sparse decomposition, using PSO-PCA decomposition and get a better reconstruction images
sub_AIC
- matlab程序，用pca分解重构对原始信号进行噪声抑制，利用bic准则进行主分量阶数选择-matlab program, using pca decomposition and reconstruction of the original signal noise suppression, the use of principal component bic guidelines Order Selection
matlab--jisuanfangfa
- 计算方法，实现LU分解，高斯列主元消去法，和多项式插值，样条插值等数值计算-Calculation methods to achieve LU decomposition, out PCA Gaussian elimination, and polynomial interpolation, spline interpolation numerical
KL_SVD_face_recognition
- PCA主成分分析，采用KL投影和SVD分解提取人脸特征向量，最后采用最近邻判别法计算识别率。-Face recognition based on PCA. KL projection and SVD are used to extract face eigenvectors. Recognition rate is calculated by k nearest neighbors(KNN) method.
pythonsrc
- 机器学习算法，包括主成分分析方法，奇异值分解，逻辑回归，最小二乘法线性回归，朴素贝叶斯-machine learning algorithm prototype including PCA, SVD, Logic Regression, LMS and Naive Bayes
iexact_alm_rpca
- 鲁棒主成分分析 低秩与稀疏矩阵分解 增广拉格朗日 图像重建、去噪-robust pca low-rank and sparse matrix decomposition
leifang_V6.2
- Gabor小波变换与PCA的人脸识别代码，matlab开发工具箱中的支持向量机，Pisarenko谐波分解算法。- Gabor wavelet transform and PCA face recognition code, matlab development toolbox support vector machine, Pisarenko harmonic decomposition algorithm.
mySVD
- svd算法可用于降维，也可用于pca的分解中。-SVD algorithm can be used to complete the PCA algorithm. It can also be used to realize dimensionality reduction.