A direct approach to sparse discriminant analysis in ultra-high dimensions

Keyphrases

• Ultrahigh-dimensional 100%
• Direct Approach 100%
• Discriminant Analysis 100%
• Feature Selection 100%
• Sparse Discriminant Analysis 100%
• Independence Rule 100%
• High-dimensional Data 50%
• Annealing 50%
• Linear Discriminant Analysis 50%
• Least-squares Formulation 50%
• Bayes Rule 50%
• Polynomial Degree 50%
• Discriminant Method 50%
• Numerical Properties 50%
• Theoretical Properties 50%
• Discriminative Features 50%
• Computationally Attractive 50%
• Feature Classification 50%
• Penalized Least Squares 50%
• Nearest Shrunken Centroids Classifier 50%
• Bayes Classification 50%
• Popular 50%
• Real-data Example 50%
• Least Absolute Shrinkage and Selection Operator (LASSO) 50%

Mathematics

• Higher Dimensions 100%
• Discriminant Analysis 100%
• Direct Approach 100%
• Least Squares Method 40%
• Polynomial 20%
• Dimensional Data 20%
• Simulated Data 20%
• Real Data 20%
• Centroid 20%
• Bayes' Rule 20%
• Least Absolute Shrinkage and Selection Operator 20%

Computer Science

• Discriminant Analysis 100%
• Direct Approach 100%
• Least Squares Methods 50%
• Feature Selection 50%
• Feature Extraction 50%
• High Dimensional Data 25%
• Linear Discriminant Analysis 25%
• Discriminative Feature 25%
• Square Formulation 25%