搜索资源列表
kpca_toy
- 基于kernel pca的非线性降维算法，原文发表于神经计算杂志上，有兴趣者可以先看论文。-PCA-based kernel of nonlinear reduced dimension algorithm, the original published in the Journal of neural computation, those interested can read papers.
mrfdenosie
- 马尔可夫随机场去噪的例子及其Kernel PCA
kpca.rar
- kpca 用于人脸识别等的matlab源码,KPCA for face recognition matlab source, etc.
MLDemos-0.3.0-source
- 机器学习源代码：内含多种机器学习算法，如GMM、KNN、Kernel PCA等等，供参考。-Machine learning source code: contains a variety of machine learning algorithms, such as GMM, KNN, Kernel PCA for reference.
Kernel_Principal_Component_Analysis
- 学习PCA即主成元分析不可不读的经典外文文献。有需要的朋友下~-PCA learning as the main element analysis that can not read the classic literature in foreign languages. In need of a friend of ~
pcakenelfunction
- pca分解的核函数，在pca分解中可以用到，特别是分解的矩阵维数比较高的情况下，通过svd分解获得pca基-pca decomposition of the kernel function, in the pca decomposition can be used, in particular the decomposition of the matrix of higher dimension, through the svd decomposition was pca-based
Efficient.Kernel.Discriminant.Analysis
- article about PCA algorithm
KPCA
- 在ORL或Yale标准人脸数据库上完成模式识别任务。用PCA与基于核的PCA（KPCA）方法完成人脸图像的重构与识别试验. -Or Yale in the ORL face database, complete the standard pattern recognition tasks. With the PCA and kernel-based PCA (KPCA) method to complete the reconstruction of face image and reco
facerecgnize
- 模式识别课程作业，pca和kpca，以及一个人脸可。其中kpca的核函数是多项式。-Pattern Recognition course assignments, pca and kpca, and a person can face. Where the kernel function is polynomial kpca.
zxkpca
- 核主成份分析提取特征值的方法 还不错 可以-kernel pca for the value
kernelpca_tutorial
- Kernel pca基于核方法的特征提取算法-feature selection
BasicKernelPCA
- The uploaded file is written to understand the basic knowledge for Kernel PCA.
KerPCA
- 高手写的Kernel PCA,对做模式识别的人非常有帮助。-It is helpful for people in pattern recognition.KPCA
kpcawv2
- Kernel PCA with wavelet face recognition
Kernel-PCA
- calculation algorithm for principle component analysis based kernel of any image database.
kpca
- kernel PCA feature extraction
Machine-Learning-Toolkit-Examples
- labview关于机器学习的案例，来源于NI lab，有多种方法：BP、Kernel PCA、Clustering、svm等等，值得大家学习。-labview on the case of machine learning, from the NI lab, there are a number of ways: BP, the Kernel the PCA, Clustering, svm, etc., is worth learning.
PCA
- 基于PCA的人脸识别 Matlab代码 两种方法 KL 和kernel-PCA-based face recognition Matlab code
kernelPCA
- kernel PCA MATLAB code
kpca_toy
- 基于核主成分分析方法设计的分类器 分类器可用于对非线性数据分类非原创- Kernel PCA non linear class