Self-representation and PCA embedding for unsupervised feature selection

Keyphrases

• Principal Coordinate Analysis (PCoA) 100%
• Self-representation 100%
• Unsupervised Feature Selection 100%
• Feature Selection Methods 66%
• Selection Framework 33%
• Optimization Algorithm 33%
• Preprocessing Techniques 33%
• Fast Convergence 33%
• Feature Selection 33%
• Learning Framework 33%
• Classification Performance 33%
• Sparse Learning 33%
• High-dimensional Data 33%
• Informative Features 33%
• Feature Selection Models 33%
• Sparse Feature Selection 33%
• Subspace Learning 33%

Computer Science

• Component Analysis 100%
• Principal Components 100%
• Feature Selection 100%
• Representation Component 100%
• Optimization Algorithm 16%
• Learning Framework 16%
• Objective Function 16%
• Fast Convergence 16%
• Regularization 16%
• Classification Performance 16%
• High Dimensional Data 16%
• Preprocessing Step 16%
• Effective Optimization 16%