Solar: a least-angle regression for accurate and stable variable selection in high-dimensional data.
Ning XuTimothy C. G. FisherJian HongPublished in: CoRR (2020)
Keyphrases
- variable selection
- high dimensional data
- high dimensional
- dimension reduction
- dimensionality reduction
- input variables
- nearest neighbor
- low dimensional
- high dimensionality
- data sets
- data analysis
- data points
- subspace clustering
- input space
- low rank
- lower dimensional
- similarity search
- manifold learning
- high dimensional spaces
- sparse representation
- linear discriminant analysis
- clustering high dimensional data
- high dimensional datasets
- neural network
- gene expression data
- principal component analysis
- feature selection
- model selection
- input data
- knowledge discovery
- variable weighting