搜索资源列表
KPCA
- 针对二分类的情况，非线性的情况也能用，希望大家多交流，谢谢大家！-In the presence of binary classification, nonlinear condition can also be used, hope you more communication, 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.
kpca1
- 在核空间中进行pca，简称kpca的源码-kernel principle component analysis
KPCA
- 核主分量分析程序，有简单的代码。易学，分享给大家。-Kernel principal component analysis procedure, a simple code. Learn and share with everyone.
LGEandKGEandOLGEandKPCAandKLPP
- 一系列降维算法，包括LGE,KGE,KLPP,OLEG,KPCA，将高维空间的数据降低的低维，主要用来进行人脸识别以等方面的特征提取,总共5个算法。-isometric projection to feature extraction
kpcaFordata
- KPCA故障诊断程序 主要是KPCA进行故障诊断对数据的处理，数据挖掘-KPCA principal component analysis code
simfeat
- 简单特征提取算法:PCA,MNF,PLS,CCA,KPCA,KMNF,KPLS,KCCA等-simple algorithm feature extraction ,for example: PCA,MNF,PLS,CCA,KPCA,KMNF,KPLS,KCCA
kernelPCA
- KPCA可以用作数据压缩与提取。是一个很好的函数，可直接调用-KPCACan be used for data compression and extraction. Is a good function, can be called directly
kpca-ecg
- 对心电信号QRS波的数据降维，已经把QRS波截取出来-QRS wave of ECG data dimensionality reduction
dimension-reduction
- pca lda kpca klda lpp matlab 特征降为方法，对于新手比较有用。-pca lda kpca klda lpp matlab code for dimension reduction. these are very useful for new researchers.
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
LDAaaPCA
- PCA,LDA 的文档描述，以及KPCA,LDA 的matlab 代码-PCA，LDA, kPCA
KPCA
- 这是一个关于核主元分析的代码,在win7平台上用C++编写-This is the code on nuclear Principal Component Analysis on win7 platform written C++
kernel-linear-principal-componenet
- this principle component analysis(PCA) that is used for linear dimensionality reduction and feature extraction as well as the nonlinear form of PCA which is KPCA and how PCA is used for Active shape models -this is principle component analysis(PCA) t
KPCAface_rec
- KPCA算法人脸识别，识别率可达到90 以上，附带人脸库-KPCA algorithm recognition, recognition rate can reach more than 90 percent, with face
mani
- 此代码是关于流形学习，数据降维，代码中含有的主要方法是PCA，KPCA，MDS，KMDS，Laplacian等等，且代码作了可视化处理，界面效果完美-This code is on the manifold learning, data dimensionality reduction, the main method code is contained in PCA, KPCA, MDS, KMDS, Laplacian, etc., and the code visualization ma
KPCA-ORL
- 随着人脸识别越来越受到重视，而人脸识别中特征降维又很重要，所以特征降维算法也很重要。因此PCA降维算法很重要-Dimensionality reduction for Face Recognition
Face_recognize
- matlab代码实现人脸检测识别，提取人脸图像的kpca特征利用图像匹配快速识别人脸。-matlab face recognition kpca svm
KPCAmatlab
- 核主成分分析方法kpca在matlab中的实现，包含参数优化等-KPCA in matlab
KPCA
- 另尝试编写的一个代码如下，实现对3类数据特征空间的聚类，如下图，红、绿、蓝三种颜色分别表示3类数据，经过rbf核映射到新的空间后，分别聚成了3类-This technique takes advantage of the kernel trick that can be used in PCA. This is a tutorial only and is slow for large data sets. In line 30 the kernel can be changed. Any Ke