Principal Component Analysis (PCA)

PCA : reduce features used in face recognition
2,5K download
Aggiornato 29 lug 2013

Visualizza la licenza

- This program uses Principal Component Analysis to reduce the number of features used in face recognition.
- This program allows you to set K if you know the number of Principal components needed or calculates K based on how much variance you would like to preserve in the images.
- The images consisting of reduced features can be used for training a neural network or logistic regression model.
- It decreases computation time of the program.
- Original & recovered images displayed

Cita come

Jason Rebello (2024). Principal Component Analysis (PCA) (https://www.mathworks.com/matlabcentral/fileexchange/42847-principal-component-analysis-pca), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R2012a
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Versione Pubblicato Note della release
1.0.0.0