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GaussIterativeMethod
- （1） 编制解n阶线性代数方程组AX=b列主元三角分解法的通用程序. （2） 用所编的程序解线性方程组.给出解向量,保留5位有效数. -(1) the preparation of solution of n-order linear algebraic equations AX = b out PCA generic triangular decomposition process. (2) the procedures used by the series solution of l
PCA
- 提出一种基于主分量分析和相融性度量的快速聚类方法。通过构造主分量空间将高维数据投影到两个主成分上 进行特征提取，每一个主分量都是原始变量的线性组合-Is proposed based on Principal Component Analysis and Measure of blending fast clustering method. Principal component space by constructing a high-dimensional data onto two p
SVMnonlinforASI
- SVM PCA (Principal Component Analysis) algorithm has been widely used in engineering and science research, This report mainly from the PCA and the basic structure of the basic tenets of its research, Conventional PCA algorithm used mainly linear algo
PCA-versus-LDA
- 人脸识别经典方法,主成分分析（PCA），线性鉴别分析（LDA）-Face the classical method, principal component analysis (PCA), linear discriminant analysis (LDA)
SignalProcPCA
- Principal Component Analysis (PCA) is the general name for a technique which uses sophisticated underlying mathematical principles to transforms a number of possibly correlated variables into a smaller number of variables called principal compone
PCA
- 在这篇文章中，我们主要阐述了基于PCA和LDA的人脸识别技术。这个技术包含两个步骤：首先，我们通过PCA将人脸图片从原始向量空间中提取到子向量空间——特征脸空间；然后，再通过LDA获得一个线性分类器。-In this article, we mainly elaborated based on PCA and LDA face recognition technology. This technique consists of two steps: First, we will face ima
liezhuyaun
- 列主元高斯消去法和列主元三角分解法解线性方程 matlab代写代做编程调试修改QQ1747812398-Out PCA Gaussian elimination and main-element triangular decomposition method for solving linear equations matlab write on behalf of doing programming and debugging modify QQ1747812398
Out-PCA-Gaussian-elimination-method
- 高斯列主元消去法求解线性方程组,文档用了两种方法实现方程组的求解，含代码。-Out PCA Gaussian elimination method for solving linear equations
liezhuyuan
- 用C语言编程，列主元法解线性方程组的解。在VC环境中 -C language programming, out PCA method for solving linear equations solution. In the VC environment
xianxingfangchengzu
- 要求编写高斯消去法求解线性方程组的函数和 要求编写列主元法函数，并在高斯消去法函数中由用户选择是否采用列主元法。 -Require written Gaussian elimination method for solving linear equations and functions require writing columns PCA function and Gaussian elimination function selected by the user is using
cu430
- 进行逐步线性回归，用平面波展开法计算二维声子晶体带隙,是学习PCA特征提取的很好的学习资料。- Stepwise linear regression, Computation Method D phononic bandgap plane wave, Is a good learning materials to learn PCA feature extraction.