搜索资源列表
eof
- 主成分分析程序，适合做向量场的正交分解 -principal component analysis procedures, suitable for the vector field orthogonal decomposition
kpca
- 核主成分分析法,用matlab实现,极为精彩.不可错过
PCA+LDA
- PCA(主成分分析法)、LDA(线性判别法) 两种方法是主要的线性降维法，有很好的效果，希望对大家能够有用！
EOFs.rar
- 经验正交函数，EOF程序，主成分分析程序，适合做向量场的正交分解。,EOF, EOF procedures, principal component analysis procedure, suitable for vector field orthogonal decomposition.
tycfgsmatlab
- matlab源程序： 用Fisher两类判别法对样本进行分类 对样本进行主成分分析 用最短距离算法的系统聚类对样本进行聚类 用二次完全式回归法估计一个因变量与两个自变量之间的关系 -matlab source: The Fisher discriminant method, two types of samples to classify the samples by principal component analysis system using the shortest
Principle_compoments_analysis
- 主成分分析的源代码，用matlab编写的-Principal component analysis of the source code using matlab
PCA
- 在多变量统计中，数据有很强的相关性，对数据进行主成分分析，这样可以避免过拟合- Multivariate statistical data there is a strong correlation, principal component analysis of the data, and to avoid over-fitting
incremental_kpca
- 用核主成分分析算法进行的人脸识别，总的来说识别率还不错-Face recognition using the nuclear principal component analysis algorithm, on the whole pretty good recognition rate
66939501pls-for-matlab
- 此程序解释了主成分分析PCA的用法通过matlab将其实现-This program explains the principal component analysis PCA usage by matlab to achieve
main
- 主成分分析,适合降维处理，很实用，可用于近红外分析-The principal component analysis for dimensionality reduction process, very practical, and can be used in the near-infrared analysis
PCA
- principal component analysis(PCA)主成分分析，Matlab实例代码-principal component analysis(PCA)
pca
- 经典主成分分析法，实现高光谱图像的降维处理 -Classical principal component analysis, to achieve high spectral image dimensionality reduction
kernel_pca
- 核主成分分析法，用于高光谱图像的降维处理，效果较好-Kernel principal component analysis for hyperspectral image dimensionality reduction, better
principal-component-analysis
- 主成分分析的代码，数据处理的必备，方便实用-Principal component analysis of the code, the data processing required, convenient and practical! !
LBPandPCA
- 为有效解决局部二元模式(LBP)在人脸识别特征提取时维数过高的问题，提出了一种结合LBP特征和主成分分析(PCA)的人脸识别方法．-To effectively solve the local binary pattern (LBP) feature extraction in face recognition problem of high dimensionality, we propose a combination of LBP features and principal compon
pca
- 基于主成分分析的人脸特征提取的MATLAB源代码，通过测试的-Principal component analysis based on human face feature extraction MATLAB source code, pass the test
GDAL_PCA
- 利用GDAL程序计算遥感影像算法中主成分分析过程中重要技术-GDAL PCA
chengfen
- 主成分分析，一种数学建模的实用方法，对你的比赛，和应用很有帮助-A good mathematical modeling tool, It is very helpful to your study MATLAB
online
- 主成分分析在线功能实现和用法，这里是源代码，代码详细，数据齐全-Principal component analysis of the implementation and usage of online features, here is the source code, the code in detail, the data is complete
程序
- pca 主成分分析的matlab代码。主成分分析（Principal Component Analysis，PCA）， 是一种统计方法。通过正交变换将一组可能存在相关性的变量转换为一组线性不相关的变量，转换后的这组变量叫主成分。(PCA principal component analysis matlab code. Principal component analysis (Principal Component, Analysis, PCA) is a statistical method