From explained variance of correlated components to PCA without orthogonality constraints.
Marie ChaventGuy ChaventPublished in: CoRR (2024)
Keyphrases
- covariance matrix
- principal component analysis
- face recognition
- principal components analysis
- linear constraints
- constraint programming
- highly correlated
- machine learning
- image reconstruction
- dimensionality reduction
- principle component analysis
- independent component analysis
- constraint satisfaction
- co occurrence
- support vector machine
- k means
- high dimensional
- feature space
- computer vision