搜索资源列表
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
Gaussian-Elimination-PCA
- 改程序是数值分析里边的高斯主元消去法，用c 做的，程序代码简单有注释，希望能对你有帮助-Numerical analysis of the reform process is the main element inside the Gaussian elimination method, c do a simple annotated program code, I hope you can help
pca.m
- pca的SPE统计量的程序，建立主元模型-pca spe
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
- 带有数据的PCA程序，计算方差贡献率确定主元数，有T方和SPE图-PCA program with data, calculate the variance contribution rate to determine the number of principal, with a T square and SPE chart
TE_PCA
- PCA:主元分析。进行降维，实现TE化工过程特征提取。-PCA: principal component analysis. Dimensionality reduction, feature extraction chemical process to achieve TE.
PCA
- 主元分析法（PCA）处理数据，将对结果影响小的某些因素剔除，只保留对结果影响大的一些因素。-Principal component analysis (PCA) process the data, the results will eliminate some of the factors affecting small, leaving only a great impact on the results of a number of factors.
Out-PCA-Gaussian-elimination-method
- 数值线性代数 高斯列主元消去法的C++具体实现过程 -Out PCA Gaussian elimination method
pca
- 基于主元分析（PCA）的迷幻连超分辨率重建 通过利用PCA及图像数据库将低分辨率的人脸进行重建-Based on principal component analysis (PCA) psychedelic even super-resolution image reconstruction through the use of PCA and low-resolution face database will be rebuilt
Kernel-PCA
- 一个老外写的文章，很不错，对以后学习核主元分析（KPCA）有帮助！-the paper was written by the foreigner，which is very useful and meaningful.
Out-PCA
- DEV-C++环境下编译通过，用于求数值计算的列主元法求解方程组-Under DEV-C++ environment compiler, used to seek out the main element numerical method for solving equations
recognize
- 采用PCA主元分析进行人脸识别， 模式识别-Using PCA principal component analysis for face recognition, pattern recognition
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
pca
- 此算法能进行主元分析，实现原始数据的降维，对对象进行主成分分析-This algorithm can perform principal component analysis, to achieve the original data dimensionality reduction, principal component analysis of the object
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-pcr
- 主元分析与主元回归用于函数的回归拟合已测试-Principal component analysis and principal component regression regression fit for function
Out-PCA-elimination-method
- 计算方法编程题目——列主元消去法解方程组-Calculation programming topics- out PCA elimination method for solving equations
PCA
- 这篇PPT主要讲述了主元分析及其具体的仿真及应用。-This PPT is mainly about the principal component analysis and the simulation and application specific.
pca-(3)
- 主要描述的是主元分析的matlab编程实例，很实用。-The main descr iption of the principal component analysis of MATLAB programming examples, it is very practical.
Gaussian-column-pca-method-
- 将矩阵的初等行变换作用于方程组的增广矩阵B A b ，将其中的A变换成一个上三角矩阵，然后求解这个三角形方程组。列主元高斯消去法的基本思想是每次在系数矩阵A中依次按列在主对角线及以下的元素中，挑选绝对值最大的元素作为主元，将它调至主对角线上，然后用它消去主对角线以下的元素，最后变为同解的上三角形方程组去求解。 -Gaussian column pca method solving linear equations