搜索资源列表
kpca1
- 关于kpca算法的matlab程序及其说明-kpca algorithm on the procedures and instructions Matlab
kpca_azaaza
- 核主成分分析KPCA算法源码[matlab]
PCAKPCA
- PCA和KPCA程序，matlab实现，可用于模式识别时做降维或特征提取处理-PCA and KPCA program, matlab implementation, pattern recognition can be used to do when dealing with dimensionality reduction or feature extraction
KStattoolbox
- 这个是KPCA的matlab工具包，台湾的一个大学开发，能够实现KPCA的基本功能-This is a matlab toolkit KPCA, Taiwan, a university development, to achieve the basic functions of KPCA
KLPP
- 核lpp（局部保持映射）的降维方法。跟Xiaofei He的论文配套-Nuclear lpp (partial maintain mapping) methods of dimensionality reduction. Xiaofei He told the paper supporting
BasedonprincipalcomponentanalysisoftheFaceRecognit
- 在特征提取阶段，研究了PCA, 2DPCA, (2D) 2PCA, DiagPCA, DiagPCA-F-2DPCA等多 种方法。不同于基于图象向量的PCA特征提取，由于2DPCA, (2D) ZPCA, DiagPCA和 DiagPCA-I-2DPCA的特征提取都直接基于图象矩阵，计算量小，所以特征的提取速度明 显高于PCA方法。-In the feature extraction stage, the study of the PCA, 2DPCA, (2D) 2PCA,
KPCA(KFD)
- 一个模式识别程序，关于KPCA/KFD的人脸识别程序，MATLAB-Pattern recognition prog, for face reconginition, MATLAB language
KPCA-and-PCA--MATLAB
- 基于MATLAB自编kpca和pca源程序，内附运行数据，多次运行无误。-Based on MATLAB and self kpca pca source, containing operating data, multiple runs correctly. Thank you
kpc_mm
- Kpca，matlab编写代码，程序，特征提取好方法，值得一看。-Kpca, matlab code, and procedures, good feature extraction method, worth a look.
kpca
- 核主分量分析matlab程序.对train进行基于高斯径向基kpca降维，x行数目为样本数，列数目为特征数,并用test进行测试-program for KPCA in matlab.
KPCA
- KPCA（核主元分析法）基于MATLAB平台的核主元分析法-KPCA (kernel principal component analysis)
kpca
- 采用kpca进行人脸识别的matlab程序，比PCA的效果好-Kpca face recognition using matlab program，the effect is better than PCA
kpca
- 上传的这个Matlab源代码可以用于主成分分析以及核主成分分析，学者们可以通过此方法实现数据的压缩。-this can be used to have a Principal component analysis and a Kernel Principal component analysis by those research works
PCA-KPCA
- 关于数据降维PCA和KPCA的MATLAB程序，程序完整，可以直接运行-PCA and KPCA
kpca.m
- kpca的MATLAB程序，简洁明了，需要的可以下载！
KPCA
- 核主成分分析的MATLAB代码，欢迎使用-Kernel Principal Component Analysis MATLAB code, welcomed the use
KPCA
- 简单实用的MATLAB对TE的故障诊断的代码，适合新手-KPCA fault diagnosis for the MATLAB TE simple algorithm, simple and practical
KPCA
- 根据自己对于核主成分分析算法的理解，编程实现的MATLAB程序，如有理解不到位的地方，欢迎批评指正。-According to their own understanding of the analysis program MATLAB algorithms, programming for nuclear principal component, if understood not in place, welcome criticism.
kpca
- 在matlab上面通过kpca，实现大数据降维算法(Dimensionality reduction algorithm for large data)
function_kpca
- 使用核函数，在matlab环境下实现非线性主成分分析(Using kernel function to realize nonlinear principal component analysis in Matlab environment.)