this implements the well known PCA algorithm. It returns a Dataset with reduced no. of dimensions/features. The reduction factor i.e how many features the final/reduced Dataset should contain can be chosen by the user.
It contains a illustration dataset of faces (face.mat)(please see Read-me file) to show the usage.
引用格式
Devinder (2024). PCA (https://www.mathworks.com/matlabcentral/fileexchange/42203-pca), MATLAB Central File Exchange. 检索时间: .
MATLAB 版本兼容性
创建方式
R2010a
兼容任何版本
平台兼容性
Windows macOS Linux类别
- AI and Statistics > Statistics and Machine Learning Toolbox > Dimensionality Reduction and Feature Extraction >
在 Help Center 和 MATLAB Answers 中查找有关 Dimensionality Reduction and Feature Extraction 的更多信息
标签
致谢
启发作品: EOF
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!pca/
版本 | 已发布 | 发行说明 | |
---|---|---|---|
1.0.0.0 |