Random projection trees and low dimensional manifolds.
Sanjoy DasguptaYoav FreundPublished in: STOC (2008)
Keyphrases
- random projections
- low dimensional manifolds
- low dimensional
- dimensionality reduction
- manifold learning
- high dimensional data
- intrinsic dimensionality
- dimension reduction
- high dimensional
- principal component analysis
- decision trees
- lower dimensional
- sparse representation
- original data
- face images
- high dimensionality
- data points
- random sampling
- document clustering
- feature space
- subspace methods
- high quality
- image reconstruction
- multiscale
- image processing
- dimensionality reduction methods
- semi supervised
- unsupervised learning