Nonlinear Dimensionality Reduction for Visualization.
Michel VerleysenJohn Aldo LeePublished in: ICONIP (1) (2013)
Keyphrases
- nonlinear dimensionality reduction
- manifold learning
- dimensionality reduction
- data visualization
- low dimensional
- high dimensional data
- laplacian eigenmaps
- data analysis
- maximum variance unfolding
- dimensionality reduction methods
- locally linear embedding
- riemannian manifolds
- maximum likelihood
- high dimensional
- pattern recognition
- random projections
- subspace learning
- feature extraction
- data mining
- data sets