Principal Component Analysis (PCA)

Versión 1.0.0.0 (10,3 MB) por Jason Rebello
PCA : reduce features used in face recognition
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Actualizado 29 jul 2013

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- 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

Citar como

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

Compatibilidad con la versión de MATLAB
Se creó con R2012a
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux
Categorías
Más información sobre Dimensionality Reduction and Feature Extraction en Help Center y MATLAB Answers.

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PCA/

Versión Publicado Notas de la versión
1.0.0.0