Manifold Learning with Arbitrary Norms

Keyphrases

• Manifold Learning 100%
• Laplacian Eigenmaps 100%
• Task-involving 50%
• High-dimensional Data 50%
• Numerical Simulation 50%
• Potential Gains 50%
• Computational Cost 50%
• Differential Operator 50%
• Intrinsic Dimension 50%
• Nonlinear Dimensionality Reduction 50%
• Earth Mover's Distance 50%
• Unit Ball 50%
• Graph-based 50%
• Graph Laplacian 50%
• Laplace-Beltrami Operator 50%
• Euclidean Norm 50%
• Laplacian Matrix 50%
• Intrinsic Geometry 50%
• Large Molecules 50%
• Convex Geometry 50%
• Manifold Learning Method 50%
• Weighted Edge 50%
• Modified Laplacian 50%
• Data Manifold 50%
• Second Fundamental Form 50%
• Non-Euclidean Norms 50%

Mathematics

• Manifold 100%
• Laplace Operator 40%
• Euclidean Norm 40%
• Edge 20%
• Differential Operator 20%
• Data Point 20%
• Numerical Simulation 20%
• Computational Cost 20%
• Dimensional Data 20%
• Dimensionality Reduction 20%
• Unit Ball 20%
• Graph Laplacian 20%
• Laplacian Matrix 20%
• Intrinsic Geometry 20%
• Convex Geometry 20%
• Second Fundamental Form 20%