Entropic graphs for intrinsic dimension estimation in manifold learning.
Jose A. CostaAlfred O. Hero IIIPublished in: ISIT (2004)
Keyphrases
- manifold learning
- intrinsic dimension
- diffusion maps
- intrinsic dimensionality
- dimensionality reduction
- low dimensional
- dimension reduction
- high dimensional data
- high dimensional
- nonlinear dimensionality reduction
- semi supervised
- sparse representation
- feature extraction
- high dimensions
- principal component analysis
- subspace learning
- vector space
- feature space
- high dimensionality
- cluster analysis
- singular value decomposition
- learning algorithm
- riemannian manifolds
- locally linear embedding
- data points
- training set
- multiscale
- decision trees