Identifying a Minimal Class of Models for High-dimensional Data.
Daniel NevoYaacov RitovPublished in: J. Mach. Learn. Res. (2017)
Keyphrases
- high dimensional data
- nearest neighbor
- dimensionality reduction
- low dimensional
- subspace clustering
- high dimensions
- similarity search
- high dimensionality
- high dimensional
- data sets
- original data
- data distribution
- data analysis
- manifold learning
- dimension reduction
- neural network
- nonlinear dimensionality reduction
- small sample size
- image data
- feature space
- clustering high dimensional data
- high dimensional spaces
- dimensional data
- subspace learning
- text data
- linear discriminant analysis
- sparse representation
- data points