Federated Sufficient Dimension Reduction Through High-Dimensional Sparse Sliced Inverse Regression.
Wenquan CuiYue ZhaoJianjun XuHaoyang ChengPublished in: CoRR (2023)
Keyphrases
- dimension reduction
- high dimensional
- partial least squares
- low dimensional
- high dimensionality
- high dimensional data
- high dimensional problems
- random projections
- variable selection
- manifold learning
- dimensionality reduction
- data points
- similarity search
- nearest neighbor
- feature space
- regression model
- sparse metric learning
- high dimensional data analysis
- model selection
- input space
- data sources
- high dimensions
- training samples
- discriminative information
- regression algorithm
- dimension reduction methods
- sparse coding
- data analysis
- support vector
- decision trees
- data sets