搜索资源列表
principal-component-analysis
- 主成份分析在模式识别中是一种特征提取方法！-a very important technique feature extraction in pattern recognazition
PCA
- 主成份分析， matlab源代码， PCA 算法。-The principal component analysis, Matlab source code, PCA algorithm.
matlab-PCA-analysis
- 主成份分析算法m文件，根据结构可以自由调用-PCA analysis
qpsk-pca
- 对混合QPSK信号的主成份分析，实现混合信号的分离-The QPSK signal the principal component analysis
NLKPCA
- 这是外国人实现的非线性主成份分析，可下载相应的文章，可用来降维！-Applies the kernel method to unsupervised algorithms as for instance Principal Component Analysis. This gives a principled and efficient approach to nonlinear PCA
pca_iris
- 利用主成份分析方法实现对IRIS数据库的分类处理。代码可直接运行， 有详细注释。-Using principal component analysis method to achieve the IRIS database classification. Code can be directly run, detailed notes.
PCA_usps
- 利用主成份分析方法实现对usps数据库的分类处理。代码可直接运行， 有详细注释。-Using principal component analysis method for usps database classification. Code can be directly run, detailed notes.
pca0
- 利用主成份分析的方法实现对两类数据的分类处理。代码可直接运行， 有详细注释。-The use of principal component analysis method to realize two types of data classification. Code can be directly run, detailed notes.
shumoshiyan
- 实验一：数据浓缩与图示 实验二：数据的预处理 实验三：家庭人均生活消费的主成份分析 实验四：家庭人均收入与支出指标的典型相关分析 实验五：用最短路算法求解航空票价最便宜的路线图 实验六：用prim算法和Kruskal算法求最小生成树-Experiment one: Data enrichment and icons Second experiment: data preprocessing Experiment III: Principal component ana
K_KPCA
- 主成份分析例程，适合初学者研究，用于特征提取和分类识别。-Principal component analysis routines, suitable for beginners, for feature extraction and classification.
2dpcafororl
- 二维的主成份分析方法应用于人脸识别，orl人脸数据库-2dpca based on orl face , with 5 triandata and 5 testdata
pca_svm_face
- 支持向量机和主成份分析的人脸检测代码，适合初学者。-Face detection code support vector machine and principal component analysis, suitable for beginners.
imm3620
- 多元变化检测（MAD）、最大自相关因子（MAF）、典型相关分析（CCA）、主成份分析（PCA）的Matlab代码-Matlab code to perform multivariate alteration detection (MAD) analysis, maximum autocorrelation factor (MAF) analysis, canonical correlation analysis (CCA) and principal component analysis (PC
00128PCA
- PCA主成份分析的matlab程序，有需要的朋友可以下载下来-Principal component analysis PCA matlab program, a friend in need can be downloaded to see
GRpca424
- 利用c++和matlab混合编程，完成基于pca（主成份分析算法）的数值分析程序-Use c++ and matlab mixed programming, complete numerical analysis program pca (principal component analysis algorithm)-based
Matlab
- 1.计算两类样本的隶属度；2.使用quadprog函数求解svm的拉格朗日乘子；3.主成份分析-1.caculate the membership of 2 samples；2.use quadprog function to get the lagrangian multiplier；3.principle component analasys
K-Means-Clustering-and-PCA
- 此代码为matlab代码，分为两个部分。第一部分实现K均值聚类算法应用它来压缩图像。在第二部分中，你将使用主成份分析法pca来实现人脸图像的低维表示。 -This code for the matlab code, is divided into two parts. The first part of the implementation of the K means clustering algorithm to compress the image. In the second par
kernel
- 核函数的实现，核分析 和核主成份分析，核Fisher判别 的matlab实现-Nuclear function, nuclear analysis and kernel principal component analysis, kernel Fisher matlab implementation
principal-component-analysis
- 主成份分析程序，包含求相关系数矩阵/矩阵对角元素提取、创建对角阵、求特征值和特征向量等函数-Principal component analysis program, including seeking the correlation matrix/matrix diagonal elements extract, create diagonal, find eigenvalues and eigenvectors and other functions
PCA_based-Face-Recognition-System
- 鲁棒性主成份分析的图像处理源代码，与人脸识别，提供学习交流-Robust principal component analysis of image processing source code, and face recognition, learning exchange offer