Geometric structure of graph Laplacian embeddings.
Nicolás García TrillosFranca HoffmannBamdad HosseiniPublished in: J. Mach. Learn. Res. (2021)
Keyphrases
- geometric structure
- graph laplacian
- manifold structure
- euclidean space
- label information
- vector space
- low dimensional
- manifold learning
- dimensionality reduction
- riemannian manifolds
- visual data
- metric space
- spectral clustering
- point cloud
- basis functions
- euclidean distance
- high dimensional data
- motion patterns
- shape analysis
- geodesic distance
- distance measure
- data points
- kernel machines
- similarity measure
- semi supervised learning
- feature vectors
- pairwise