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
stprtool.rar
- 统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines,
KPCA.zip
- kPCA程序 一个关于kernel pca的实现代码,kpca
Kernel-PCA
- KPCA经典程序，是KPCA的创始人写的，为学习KPCA提供了模板。-Classic KPCA procedures, is the founder of KPCA wrote, KPCA provides templates for learning.
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_pca
- Kernel principal component analysis (kernel PCA) [1] is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are done in a reproducing kernel Hilbert space with
kpca_toy
- Kernel PCA的经典示例程序，非常有帮助，也很易懂。-Kernel PCA classic example of the procedure
Kernel_PCA
- 基于核的主分量分析方法的提出者亲自写的程序（基于MATLAB-a MATLAB m-file of Kernel PCA
kpca_origin
- Kernel PCA toy example Nonlinear component analysis as a kernel Eigenvalue problem
Efficient.Kernel.Discriminant.Analysis
- article about PCA algorithm
26
- 关于rbf神经网络实现图像分类的优化算法英文文献 源于著名期刊I-A METHOD FOR IMAGE CLASSIFICATION BASED ON KERNEL PCA
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
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.
KERNEL-PCA
- Kernel principal component analysis (kernel PCA) is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are done in a reproducing kernel Hilbert space with a n
Kernel-PCA
- 基于核方法的主成分分析matlab源代码，比较经典，推荐学习。-Method based on kernel principal component analysis matlab source code, more classic, recommended 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
Kernel PCA and Pre-Image Reconstruction
- Kernel Pca for face recogntion