Constraint principal components for linear discrimination.
N. TrendafilovMichele GalloVioletta SimonacciValentin TodorovPublished in: Inf. Sci. (2023)
Keyphrases
- principal components
- principal component analysis
- linear features
- linear constraints
- dimensionality reduction
- multivariate data
- principal components analysis
- correlation coefficient
- hyperplane
- linear inequalities
- kernel principal component analysis
- principal component regression
- feature selection
- kernel space
- spectral data
- weight vector
- covariance matrix
- feature set
- data points
- high dimensional
- face recognition
- decision trees