Principal Component Analysis
A graphical user interface to build statistical models using Principal Component Analysis.
You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
Check out the help files on how to use the GUI.
Refer to the following paper for details on theory behind Principal Component Analysis for fault diagnosis: Detroja K. P., Gudi R. D., Patwardhan S. C. & Roy K. (2006), Fault Detection and Isolation using Correspondence Analysis, Ind. & Eng. Che. Res., 45(1), 223-235.
Cite As
Ketan D (2026). Principal Component Analysis (https://ch.mathworks.com/matlabcentral/fileexchange/59268-principal-component-analysis), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired: EOF
Categories
Find more on Dimensionality Reduction and Feature Extraction in Help Center and MATLAB Answers
General Information
- Version 1.0 (476 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0 |
|
