A New Covariance Estimator for Sufficient Dimension Reduction in High-Dimensional and Undersized Sample Problems.
Kabir Opeyemi OloredeWaheed Babatunde YahyaPublished in: CoRR (2019)
Keyphrases
- dimension reduction
- high dimensional
- high dimensional problems
- high dimensionality
- data mining and machine learning
- low dimensional
- high dimensional data analysis
- principal component analysis
- variable selection
- high dimensional data
- dimensionality reduction
- feature extraction
- manifold learning
- feature space
- random projections
- discriminative information
- pairwise
- feature selection
- high dimensions
- partial least squares
- linear discriminant analysis
- machine learning
- image processing
- decision trees
- similarity search
- maximum likelihood
- data mining techniques
- image data
- support vector
- computer vision
- association rules