Sparse Feature Selection in Kernel Discriminant Analysis via Optimal Scoring.
Alex LapanowskiIrina GaynanovaPublished in: CoRR (2019)
Keyphrases
- feature selection
- kernel discriminant analysis
- multi class
- feature subset
- dimensionality reduction
- text categorization
- feature set
- discriminant analysis
- machine learning
- high dimensional
- text classification
- unsupervised learning
- feature space
- sparse representation
- training data
- feature extraction
- hyperplane
- support vector regression
- computer vision