Example of Principal Component Analysis on Pokemon images (28x28 grayscale)
This tutorial demonstrates some important properties of PCA:
- Visualizing the spectrum (eigenvalues) of the covariance matrix.
- Visualizing data in principal component space.
- Data compression and reconstruction.