A Novel Approach for Fair Principal Component Analysis Based on Eigendecomposition.
Guilherme Dean PelegrinaLeonardo Tomazeli DuartePublished in: IEEE Trans. Artif. Intell. (2024)
Keyphrases
- eigendecomposition
- covariance matrix
- principal component analysis
- low rank
- singular value decomposition
- principal components
- dimensionality reduction
- dimension reduction
- spectral clustering
- feature space
- sample size
- face recognition
- feature extraction
- face images
- linear discriminant analysis
- low dimensional
- learning algorithm
- similarity matrix
- kernel matrix
- objective function
- random projections
- unsupervised learning
- support vector machine
- support vector
- feature selection