GLEE: Geometric Laplacian Eigenmap Embedding.
Leo TorresKevin S. ChanTina Eliassi-RadPublished in: J. Complex Networks (2020)
Keyphrases
- laplacian eigenmaps
- manifold learning
- nonlinear dimensionality reduction
- kernel pca
- maximum variance unfolding
- graph laplacian
- dimensionality reduction
- low dimensional
- dynamic time warping
- principal component analysis
- locally linear embedding
- geometric structure
- empirical mode decomposition
- manifold structure
- pairwise
- range images
- random walk
- high dimensional
- latent space
- kernel matrix
- semi supervised