搜索资源列表
kpca
- KPCA的提出者亲自写的程序。是一份很值得收藏的经典代码。-KPCA the author himself procedures. It is a very worthwhile collection of classic code.
kpca_azaaza
- 核主成分分析KPCA算法源码[matlab]
kpca
- kpca算法的matlab源程序,基于核的主成分分析的源程序
kpca.rar
- KPCA的程序,比较好用,有详细的注释,希望对大家有用!,KPCA procedure, compared to-use, with detailed notes, useful for all of us hope!
pca-kpca.zip
- 此为pca ,kpca的源代码，智能技术课上用的,This is a pca, kpca source code
KPCA.zip
- kPCA程序 一个关于kernel pca的实现代码,kpca
kpca081223
- 非线性降维方法KPCA 可以应用于高维数据的机器学习-KPCA nonlinear dimensionality reduction methods can be applied to high-dimensional data, machine learning
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
KPCA
- 关于KPCA的详细算法说明 并附有相关例子-Detailed descr iption of KPCA algorithm on together with relevant examples
KPCA
- 在模式识别中，经常用到的一种提取特征的方法——主成分分析法-In pattern recognition, a frequently used feature extraction method- principal component analysis
KPCA-LEG
- 从理论上证明了KGE框架内的各种核算法其实质是KPCA+LGE框架内的线性降维算法，并且基于所给出的理论框架提出了一种综合利用零空间和非零空间 鉴别信息的组合方法．-Theoretically proved that the KGE various accounting method within the framework of its essence is the KPCA+ LGE within the framework of linear dimensionality reduc
KPCA
- 模式识别理论中KPCA(Kernel based Principle Component Analysis)方法的推导-Kernel based Principle Component Analysis-pattern recognition
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
- KPCA算法实现,采用传统方法实现，KPCA是根据非线性映射到高维空间-KPCA algorithm, using traditional methods to achieve, KPCA algorithm, using traditional methods to achieve,
20494855sime-kpca
- kpca是对原来的pca程序进行核处理，具有一定的非线性。-Kpca is nuclear processing, on the original pca program is nonlinear.
siliconpredictNARXwith-pca-VS-kpca
- 用PCA加动态神经网络（DNN）与KPCA加动态神经网络（DNN）做铁水含硅量预测，适用于多种时间序列预测。-the prediction of silicon content with NARX model based on PCA and DNN Vs the prediction of silicon content with NARX model based on KPCA and DNN .This method also can use to the other time serie
kpca.m
- kpca的MATLAB程序，简洁明了，需要的可以下载！
KPCA
- KPCA 核主成分分析 降维处理 与传统的PCA相比，KPCA具有主成份特征明显,贡献率集中,主成份参数维数较少等优点,其性能明显高于PCA的分析结果-Nuclear dimension principal component analysis (KPCA Compared with the traditional PCA, KPCA with principal component characteristics significantly, contribution, princip
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
- 在matlab上面通过kpca，实现大数据降维算法(Dimensionality reduction algorithm for large data)