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,
denoise_kpca
- 去噪基于kPCA方法,欢迎使用。使用matlab编程-De-noising method based on kPCA are welcome to use. Programming using 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
KPCA-Codes
- 核主元分析的matlab代码,数据是随机产生的,可运行出结果-KPCA matlab code, data is randomly generated, you can run the results
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
- 基于MATLAB的PCA和KPCA的实现,有图,有返回的参数,绝对可以运行!-Based on the PCA and KPCA MATLAB to achieve, there are plans to return to the parameters, the absolute can run!
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)
kpca
- 主成分分析的一种改进算法,是一种非线性的特征提取方法。(An improved algorithm of principal component analysis is a nonlinear feature extraction method)
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.)