Principal Component Analysis (PCA)

Version 1.0.0.0 (10,3 Mo) par Jason Rebello
PCA : reduce features used in face recognition
5.0
(1)
2,5K téléchargements
Mise à jour 29 juil. 2013

Afficher la licence

- 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

Citation pour cette source

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

Compatibilité avec les versions de MATLAB
Créé avec R2012a
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS Linux
Catégories
En savoir plus sur Dimensionality Reduction and Feature Extraction dans Help Center et MATLAB Answers

Community Treasure Hunt

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

Start Hunting!

PCA/

Version Publié le Notes de version
1.0.0.0