Grouped variable screening for ultra-high dimensional data for linear model.
Debin QiuJeongyoun AhnPublished in: Comput. Stat. Data Anal. (2020)
Keyphrases
- high dimensional data
- linear model
- least squares
- dimensionality reduction
- nearest neighbor
- low dimensional
- regression model
- data sets
- linear models
- high dimensional
- high dimensions
- linear transformation
- high dimensionality
- similarity search
- data analysis
- subspace clustering
- data points
- nonlinear models
- linear discriminant analysis
- high dimensional spaces
- lower dimensional
- manifold learning
- high dimensional data sets
- additive model
- clustering high dimensional data
- high dimensional datasets
- dimension reduction
- nonlinear dimensionality reduction
- three dimensional
- distance metric
- input data
- feature vectors
- clustering algorithm