搜索资源列表
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.
geap
- 自己编写的全主元高斯消去法解线性方程组的matlab函数。特点：运行稳定，适合于工程计算；结构清楚，注释详尽，非常适合于初学者。-their preparation of all PCA Gaussian elimination method for solving linear equations of Matlab function. Features : stable operation, which is suitable for engineering calculations; St
qzy
- 利用全主元高斯消去法对线性方程组的求解过程进行数值模拟与计算。-use all PCA Gaussian elimination of linear equations, the solution process simulation and numerical calculation.
pca_lda
- 这里面包含两个文件，可以实现主成分分析（PCA）算法和线性判别分析（LDA）算法。不过还需要CMatrix类的定义。-which contained two documents, can be achieved principal component analysis (PCA) algorithm and linear discriminant analysis (LDA) algorithm. But also need CMatrix class definition.
rtejfgds
- 现有的代数特征的抽取方法绝大多数采用一维的方法，即首先将图像转换为一维向量，再用主分量分析（PCA）,Fisher线性鉴别分析（LDA）,Fisherfaces式核主分量分析（KPCA）等方法抽取特征，然后用适合的分类器分类。针对一维方法维数过高，计算量大，协方差矩阵常常是奇异矩阵等不足，提出了二维的图像特征抽取方法，计算量小，协方差矩阵一般是可逆的，且识别率较高。-existing algebra feature extraction method using a majority of th
orl_programming_date
- pca,用在人脸特征识别中,fisher线性判别 kpca,dwt2-pca used in facial recognition, fisher linear discriminant kpca, dwt2
CalcLDA
- PCA---主成分分析 LDA---线性区别分析此类实现结合两者的有缺点实现图像模式识别,其中需要有矩阵类-PCA principal component analysis --- --- LDA linear discriminant analysis combining the two to achieve such a flawed it Image is pattern recognition, which requires matrices
guass2
- 用列主元高斯法解用户输入的线性方程组。包含3个文件。-out with PCA Gaussian user input method for the linear equations. Contains three documents.
no-doolittle
- 用doolittle分解法（非选主元）解用户输入的线性方程组。若无法解，将提示用选主元的doolittle分解法(见另一上传文件)解方程-with doolittle decomposition (non-elected PCA) user input solutions of linear equations. If there is no solution, the election will be prompted to use the PCA doolittle decompositio
pca_matlab
- 基于神经元网络和 Linear Auto-Associative memory 和pca的人脸识别程序。-based on neural network and Linear Auto-Associative memory pca and face recognition procedures.
xianxingfangchengzujiefa
- 线性方程组数值解法 包括高斯赛德尔迭代法 矩阵直接三角分解法 列主元高斯消去法 雅可比迭代法-linear equations numerical solution including high resistivity iteration triangular matrix decomposition directly out PCA Gaussian elimination Jacobi iterative method
全选主元高斯消去法解复系数线形代数方程组
- 全选主元高斯消去法解复系数线形代数方程组-entire election PCA Gaussian Elimination demultiplexing coefficient of linear algebraic equations
全选主元高斯消去法解实系数线形代数方程组
- 全选主元高斯消去法解实系数线形代数方程组-entire election PCA Gaussian Elimination solution is linear coefficient of algebraic equations
IntroMatlab_codepls
- PCA and PLS aims:to get some insight into the bilinear factor models Principal Component Analysis (PCA) and Partial Least Squares (PLS) regression, focusing on the mathematics and numerical aspects rather than how s and why s of data analysis
求解线性代数方程组
- 线性代数方程组的求解全选主元高斯消去法全选主元高斯约当消去法复系数方程组的全选主元高斯消去法-linear algebraic equations to solve all the main election yuan Gaussian Elimination entire election PCA about when Gaussian Elimination of complex equations of the entire election PCA Gaussian Eliminatio
chenagaus
- 求解大型稀疏方程组的全选主元高斯-约当消去法--返回零表示原方程组的系数矩阵奇异，返回的标志值不为零，则表示正常返回。-solving large sparse linear system-wide elections PCA Gauss-Jordan elimination method -- to return to the original equation is expressed by the coefficient matrix, a sign of the return value
pca_regression.rar
- 基于主元分析的多元线性回归程序,输出回归系数，主元贡献率和拟合误差,multiple linear regression using pca
gauss.rar
- 用高斯列主元消元法解下列线性方程组 高斯消元求解一些系数矩阵中含有极小数的情况下，会产生巨大的舍入误差，导致算法失效。一个简单而有效的改进方法是每次在进行将当前列中元素的消成0的运算时，选择当前列j对应的行(j to n)中绝对值较大的一个数作为主元行，这样，误差就会减小很多,PCA with out Gaussian elimination method solution of the following system of linear equations to solve a numbe
mani.rar
- 一个集成了8种降维方法的GUI（包括常见的PCA、LLE、isomap、HLLE等线性与非线性将为方法）,An integrated eight kinds of dimensionality reduction methods GUI (including common PCA, LLE, isomap, HLLE, etc. will be linear and nonlinear methods)
LDA
- 使用matlab实现的LDA（线性判别分析）分类器，以及PCA的实现-Implemented using matlab LDA (linear discriminant analysis) classifier, and the implementation of PCA