Deep feature screening: Feature selection for ultra high-dimensional data via deep neural networks.
Kexuan LiFangfang WangLingli YangRuiqi LiuPublished in: Neurocomputing (2023)
Keyphrases
- high dimensional data
- dimensionality reduction
- high dimensionality
- neural network
- feature selection
- dimension reduction
- nearest neighbor
- low dimensional
- high dimensional
- high dimensions
- clustering high dimensional data
- subspace clustering
- data points
- feature set
- data sets
- gene expression data
- data analysis
- high dimensional spaces
- input space
- feature extraction
- nonlinear dimensionality reduction
- support vector
- similarity search
- feature subset
- preprocessing step
- manifold learning
- feature vectors
- missing values
- input data
- feature space
- image processing
- machine learning
- text data
- high dimensional datasets
- pattern recognition
- text classification
- lower dimensional
- locally linear embedding
- small sample size
- database