Improving k-NN graph accuracy using local intrinsic dimensionality

Keyphrases

• K-nearest 100%
• Neighbor Graph 100%
• Local Intrinsic Dimensionality 100%
• Feature Vector 66%
• Intrinsic Dimension 66%
• Computational Complexity 33%
• Machine Learning Applications 33%
• Graph Construction 33%
• Feature Selection 33%
• Object Features 33%
• Construction Method 33%
• Learning Task 33%
• Vector Sparsification 33%
• Search Tasks 33%
• Compact Objects 33%
• Similarity Graph 33%
• Storage Space 33%
• Local Feature Vector 33%
• Compact Features 33%
• High-dimensional Space 33%
• Object Representation 33%

Computer Science

• Feature Vector 100%
• Nearest Neighbor Graph 100%
• Intrinsic Dimensionality 100%
• Computational Complexity 33%
• Data Mining 33%
• Machine Learning 33%
• Data Structure 33%
• Feature Selection 33%
• local feature 33%
• Dimensional Space 33%
• Selection Criterion 33%
• Graph Construction 33%
• Similarity Graph 33%
• Object Representation 33%