Diffusion Maps, Reduction Coordinates, and Low Dimensional Representation of Stochastic Systems.
Ronald R. CoifmanIoannis G. KevrekidisStéphane LafonMauro MaggioniBoaz NadlerPublished in: Multiscale Model. Simul. (2008)
Keyphrases
- diffusion maps
- low dimensional
- stochastic systems
- manifold learning
- dimensionality reduction
- nonlinear dimensionality reduction
- high dimensional
- high dimensional data
- euclidean space
- data points
- principal component analysis
- subspace learning
- semi supervised
- dimension reduction
- feature space
- input space
- statistical learning
- maximum likelihood
- data sets
- sparse representation
- video sequences
- stochastic models
- multiscale
- feature extraction