Probabilistic PCA and Factor Analysis
EM algorithm for fitting PCA and FA model. This is probabilistic treatment of dimensional reduction.
現在この提出コンテンツをフォロー中です。
- フォローしているコンテンツ フィードに更新が表示されます。
- コミュニケーション基本設定に応じて電子メールを受け取ることができます
This package provides several functions that mainly use EM algorithm to fit probabilistic PCA and Factor analysis models.
PPCA is probabilistic counterpart of PCA model. PPCA has the advantage that it can be further extended to more advanced model, such as mixture of PPCA, Bayeisan PPCA or model dealing with missing data, etc. However, this package mainly served a research and teaching purpose for people to understand the model. The code is succinct so that it is easy to read and learn.
This package is now a part of the PRML toolbox (http://cn.mathworks.com/help/stats/ppca.html).
引用
Mo Chen (2026). Probabilistic PCA and Factor Analysis (https://jp.mathworks.com/matlabcentral/fileexchange/55883-probabilistic-pca-and-factor-analysis), MATLAB Central File Exchange. に取得済み.
謝辞
ヒントを得たファイル: Pattern Recognition and Machine Learning Toolbox
| バージョン | 公開済み | リリース ノート | Action |
|---|---|---|---|
| 1.0.0.0 |
update description
|
