搜索资源列表
用Gauss列主元消元法解线性方程组
- 解方程： 用Gauss列主元消元法解线性方程组 -solution equation : Gauss out PCA elimination method for solving linear equations using Gauss out PCA elimination method for solving linear equations
高斯列主元消去法
- 列主元高斯消去法 用c语言编写 在Turbo c 2.0中调试通过-out PCA Gaussian Elimination c language used in Turbo c 2.0 debugging through
部分选主元的doolittle算法
- 在实现了系数矩阵的三角分解后，为了避免“小主元”做除数而导致更大的误差，在doolittle分解的同时，每一步先选主元，再进行分解计算。-achieved in the triangular matrix decomposition, in order to avoid "small PCA" do Divisor and lead to greater error, the Doolittle decomposition at the same time, every st
pca-svm
- 本程序用于对训练样本提取独立主元，作为样本特征，并送入SVM分类器中训练图像的预处理中不取对数，也无须做幅度归一，由ICA的应用条件决定的。预处理后的图像以向量的形式按行排列
pca
- PCA主元分析后用神经网络预测，A/S含量，PCA算法实现，与神经网络-PCA principal component analysis using neural network prediction, A/S content, PCA algorithm, and neural network
PCA_ME
- 简单的主元分析法（PCA）的代码，希望能有帮助-Simple method of principal component analysis (PCA) of the code, hoping to help
Gaussxiaoyuanfa
- 解线性方程组，通过列主元消去法，方便快捷，基于VB版本的小程序-Solution of linear equations by elimination out PCA, convenient, based on the VB version of the applet
pca
- 主元分析的matlab源代码，对于一个样本空间可以获得其主元成分-Principal component analysis, Matlab source code for a sample space to obtain the main element composition
PCA
- 主元分析 PCA的源代码程序 用于对于复杂的数据进行提取主元-The principal component analysis PCA source code program to extract the main element is used for complex data
PCA
- 主元分析-PCA analysis
PCA
- 主元分析是对数据进行平移和旋转变换，提取几个比较重要的变量来表示原始空间中的重要信息，实现对数据的降维-Principal component analysis for data translation and rotation transformation to extract a few of the more important variables to represent the important information in the original space, to achiev
Column-pca-elimination-method
- 数值分析列主元消去法编程的源程序，可直接运行-Numerical analysis column pca elimination programming source code, can be directly run
pca
- 里面包含主元分析PCA的Matlab代码 协方差 贡献率-Matlab code which contains the covariance contribution rate of principal component analysis PCA
pca
- 是用主元分析法实现的较高识别率的人脸识别，开发环境是MATLAB-It is the principal component analysis method is used to implement the high recognition rate of face recognition, development is the MATLAB environment
PCA
- 能够实现对多维数据的PCA主元分析，对数据降维，提取主元。-PCA principal component analysis can be achieved, for data dimensionality reduction, extraction PCA
PCA_model
- 用于TE模型的故障数据检测，使用pca主元分析法，- TE model by using pca detection
PCA-ICA
- 实现了主元分析（PCA）和独立分量分析（ICA）相关信号处理。非线性降维。(Implements Principal Component Analysis (PCA) and Independent Component Analysis (ICA) correlation signal. Non-linear dimension reduction using kernel PCA.)
PCA_Monitoring
- PCA（principle component analysis）算法，可用于特征选择等，希望有帮助(principle component analysis)
主元分析
- 主元分析PCA的讲解PPT，看起来还可以(Principal component analysis PCA explain PPT, looks like you can do it)
On PCA-based fault diagnosis techniques
- 主元分析，故障诊断，Steven X. Ding(PCA method, fault diagnosis, authored by Steven X. Ding)