Manifold learning visualization of Metabotropic Glutamate Receptors.
Martha Ivón CárdenasAlfredo VellidoJesús GiraldoPublished in: CCIA (2014)
Keyphrases
- manifold learning
- nonlinear dimension reduction
- dimensionality reduction
- low dimensional
- nonlinear dimensionality reduction
- laplacian eigenmaps
- diffusion maps
- semi supervised
- generative topographic mapping
- subspace learning
- dimension reduction
- data analysis
- head pose estimation
- high dimensional
- data visualization
- feature extraction
- self organizing maps
- high dimensional data
- manifold learning algorithm
- geodesic distance
- sparse representation
- manifold structure
- feature space
- locality preserving
- neural network
- locally linear embedding
- embedding space
- latent space
- clustering algorithm
- semi supervised learning
- pattern recognition