搜索资源列表
PCA(matlab)
- 主成分分析算法（PCA），这是一个外国人编写的，很具有参考价值-principal component analysis algorithm (PCA), which was prepared by a foreigner, it is very valuable reference
pca
- PCA算法程序设计步骤： 1、去均值 2、计算协方差矩阵及其特征值和特征向量 3、计算协方差矩阵的特征值大于阈值的个数 4、降序排列特征值 5、去掉较小的特征值 6、去掉较大的特征值(一般没有这一步） 7、合并选择的特征值 8、选择相应的特征值和特征向量 9、计算白化矩阵 10、提取主分量
pca
- PCA主成分分析的标准MATLAB程序,可通用,非常有效-PCA principal component analysis of the standard MATLAB procedures, can be universal, very effective
ada04
- 详细介绍PCA（主成分分析），应用于人脸识别。PCA概念，发展，关键技术-Details on PCA (Principal Component Analysis), applied to face recognition. PCA concept, development, and key technologies
pca
- 主成分分析程序，可用于数据降维及特征提取。-Principal component analysis procedures, can be used for data dimensionality reduction and feature extraction.
Matlabcodes-RobustPCA
- Matlab codes for Robust PCA multivariate control chart-Robust PCA multivariate control chart mainly consists two steps: Step1 Calculates the robust mean and the robust covariance of original dataset using the minimum covariance determinant (M
Principal.Component.Analysis.PCA
- 26页PPT，详细介绍主成分分析（Principal Component Analysis，PCA）的概念-26 PPT, details of principal component analysis (Principal Component Analysis, PCA) concept of
jacobi
- 高斯全选主元法以及相应的说明，FORTRAN子程序。-Select PCA with Gaussian and the corresponding instructions, FORTRAN subroutines.
pca
- Principal Component Analysis
pca
- 用于主成分分析(pca）的程序（c++）-principal component analysis C++ program
45666023pca2
- PCA neural network Matlab code
PCA
- 主成分分析方法通过建立两个主成分的二位图，对数值特异点的剔除，减少数据处理中无关项的干扰，-Free Source Code for Image segmentation and Extraction malic: A Realtime Face Recognition System Source Code Face Detection C++ Library with Skin and Motion Analysis Face Recognition
Principal-contens-analysis(PCA)
- 用于主成分分析（PCA）,包括，原变量相关系数矩阵的特征向量和特征值的求解，主成分的提取，载荷值的确定等-Used principal component analysis (PCA), including the original variable correlation matrix eigenvectors and eigenvalues of the solution, the main component of the extract, load value
PCA-matlab-code
- this file includes PCA MATLAB codes
pca
- 主成分分析 pca函数代码，用于数据的降维、压缩、去噪、主成分分析等方面-principal component analysis
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.
pca降维
- pca数据降维算法，很好的解决数据灾难的问题。(PCA data dimensionality reduction algorithm, a good solution to the problem of data disaster.)
PCA笔记
- 对PCA的个人理解，有详细的PCA推导过程，代码包括计算协方差，及其特征值特征向量。(For the personal understanding of PCA, there is a detailed process of PCA derivation. The code includes the calculation covariance and its eigenvalue eigenvector.)
pca算法实现
- 通过Python实现了PCA数据降维的方法(The method of reducing the dimension of PCA data through Python)