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
Devinder (2025). PCA (https://www.mathworks.com/matlabcentral/fileexchange/42203-pca), MATLAB Central File Exchange. に取得済み.
MATLAB リリースの互換性
作成:
R2010a
すべてのリリースと互換性あり
プラットフォームの互換性
Windows macOS Linuxカテゴリ
- AI and Statistics > Statistics and Machine Learning Toolbox > Dimensionality Reduction and Feature Extraction >
Help Center および MATLAB Answers で Dimensionality Reduction and Feature Extraction についてさらに検索
タグ
謝辞
ヒントを与えたファイル: EOF
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!pca/
バージョン | 公開済み | リリース ノート | |
---|---|---|---|
1.0.0.0 |