Linear versus Nonlinear Dimensionality Reduction of High-Dimensional Dynamical Systems.
Nejib SmaouiPublished in: SIAM J. Sci. Comput. (2004)
Keyphrases
- dynamical systems
- nonlinear dimensionality reduction
- high dimensional
- low dimensional
- linear systems
- manifold learning
- dimensionality reduction
- high dimensional data
- locally linear embedding
- nonlinear dynamical systems
- state space
- low dimensional manifolds
- similarity search
- data points
- high dimensionality
- dimension reduction
- multi dimensional
- feature space
- feature selection
- subspace learning
- data sets
- nearest neighbor
- neural network
- objective function
- parameter space
- dimensionality reduction methods
- feature extraction
- metric space
- semi supervised
- supervised learning