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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
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