Kernel PCA and Pre-Image Reconstruction

版本 3.2 (6.9 MB) 作者: Quan Wang
standard PCA, Gaussian kernel PCA, polynomial kernel PCA, pre-image reconstruction
4.7
(15)
17.9K 次下载
更新时间 2023/6/15
在 GitHub 上查看许可证

Kernel PCA and Pre-Image Reconstruction View Kernel PCA and Pre-Image Reconstruction on File Exchange arxiv

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:

pic

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}
}

引用格式

Quan Wang (2024). Kernel PCA and Pre-Image Reconstruction (https://github.com/wq2012/kPCA/releases/tag/v3.2), GitHub. 检索来源 .

MATLAB 版本兼容性
创建方式 R2012b
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code

demo1

demo2

demo3

版本 已发布 发行说明
3.2

See release notes for this release on GitHub: https://github.com/wq2012/kPCA/releases/tag/v3.2
1.4.0.0

Fixed a fatal bug in pre-image reconstruction.

1.3.0.0

addpath('../code') in demo2
1.2.0.0

We replaces all demos, and the data used for the demo. We also updated the document to provide better illustration and better experiments. Now the code generates exactly the same results as shown in the paper.

1.1.0.0

The efficiency is optimized.

1.0.0.0

要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。
要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。