On the Spectrum of Random Features Maps of High Dimensional Data.
Zhenyu LiaoRomain CouilletPublished in: ICML (2018)
Keyphrases
- high dimensional data
- high dimensionality
- dimensionality reduction
- high dimensional
- nearest neighbor
- low dimensional
- high dimensions
- data points
- data sets
- high dimensional feature spaces
- feature extraction
- original data
- clustering high dimensional data
- data analysis
- feature space
- dimension reduction
- input space
- small sample size
- lower dimensional
- input data
- feature vectors
- similarity search
- linear discriminant analysis
- manifold learning
- subspace clustering
- multiple features
- data distribution
- subspace learning
- dimensional data
- high dimensional spaces
- data structure
- text data
- pattern recognition
- missing values
- feature set