On the Spectrum of Random Features Maps of High Dimensional Data.
Zhenyu LiaoRomain CouilletPublished in: CoRR (2018)
Keyphrases
- high dimensional data
- high dimensionality
- dimensionality reduction
- low dimensional
- high dimensional
- subspace clustering
- nearest neighbor
- data points
- high dimensional feature spaces
- manifold learning
- original data
- feature space
- input space
- high dimensions
- feature set
- lower dimensional
- high dimensional spaces
- data distribution
- similarity search
- data analysis
- data sets
- nonlinear dimensionality reduction
- dimension reduction
- clustering high dimensional data
- small sample size
- real world
- dimensional data
- linear discriminant analysis
- dimensionality reduction methods
- locally linear embedding
- high dimensional datasets
- class labels
- sparse representation
- feature vectors
- pattern recognition
- image processing