Ultra-high dimensional variable screening via Gram-Schmidt orthogonalization.
Huiwen WangRuiping LiuShanshan WangZhichao WangGilbert SaportaPublished in: Comput. Stat. (2020)
Keyphrases
- high dimensional
- gram schmidt orthogonalization
- low dimensional
- high speed
- feature space
- generalized discriminant analysis
- data points
- nearest neighbor
- similarity search
- high dimensionality
- dimensionality reduction
- dimension reduction
- multi class
- neural network
- clustering method
- high dimensional data
- parameter space
- support vector