A novel approach for Fair Principal Component Analysis based on eigendecomposition.
Guilherme Dean PelegrinaLeonardo Tomazeli DuartePublished in: CoRR (2022)
Keyphrases
- eigendecomposition
- covariance matrix
- principal component analysis
- principal components
- spectral clustering
- dimension reduction
- low rank
- dimensionality reduction
- feature extraction
- sample size
- low dimensional
- linear discriminant analysis
- face recognition
- face images
- reproducing kernel hilbert space
- small number
- recommender systems
- feature space
- objective function