kPCA-master
所属分类：matlab编程
开发工具：matlab
文件大小：7107KB
下载次数：2
上传日期：2020-07-28 10:28:52
上 传 者：
齐天大圣哦哦
说明： kpca用于信号降低维度，特征提取等领域，具有优良效果
(kpca is used in signal dimensionality reduction, feature extraction and other fields, with excellent effects)
文件列表:
1207.3538.pdf (648384, 2019-06-28)
code (0, 2019-12-05)
code\distanceMatrix.m (464, 2019-06-28)
code\kernel1.m (712, 2019-06-28)
code\kernel_NewData.m (789, 2019-06-28)
code\kPCA.m (1322, 2019-06-28)
code\kPCA_NewData.m (736, 2019-06-28)
code\kPCA_PreImage.m (787, 2019-06-28)
code\PCA.m (793, 2019-06-28)
demo1 (0, 2019-12-03)
demo1\demo_SyntheticData.m (1974, 2019-06-28)
demo1\SyntheticData.mat (27619, 2019-06-28)
demo2 (0, 2019-12-03)
demo2\demo_YaleFace.m (1603, 2019-06-28)
demo2\YaleFaceData.mat (6450773, 2019-06-28)
demo3 (0, 2019-12-03)
demo3\demo_faceASM_kPCA.m (1019, 2019-06-28)
demo3\demo_faceASM_PCA.m (833, 2019-06-28)
demo3\drawFaceModel.m (838, 2019-06-28)
demo3\points_20.mat (405936, 2019-06-28)
resources (0, 2019-12-03)
resources\kPCA.png (40061, 2019-06-28)
# Kernel PCA and Pre-Image Reconstruction [](https://www.mathworks.com/products/matlab.html) [](https://arxiv.org/pdf/1207.3538.pdf)
## Overview
In this package, we implement standard PCA, kernel PCA, and pre-image reconstruction of Gaussian kernel PCA.
We also provide three demos:
1. Two concentric spheres embedding;
2. Face classification with PCA/kPCA;
3. Active shape models with kPCA.
Standard PCA is not optimized for very high dimensional data. But our kernel PCA implementation is very efficient, and has been used in many research projects.
This library is also available at MathWorks:
* https://www.mathworks.com/matlabcentral/fileexchange/39715-kernel-pca-and-pre-image-reconstruction
## Citations
If you use this library, please cite:
```
@article{wang2012kernel,
title={Kernel principal component analysis and its applications in face recognition and active shape models},
author={Wang, Quan},
journal={arXiv preprint arXiv:1207.3538},
year={2012}
}
```
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