Deep Feature Screening: Feature Selection for Ultra High-Dimensional Data via Deep Neural Networks.
Kexuan LiFangfang WangLingli YangPublished in: CoRR (2022)
Keyphrases
- high dimensional data
- dimensionality reduction
- high dimensionality
- neural network
- feature selection
- nearest neighbor
- high dimensional
- dimension reduction
- low dimensional
- data points
- data sets
- data analysis
- subspace clustering
- preprocessing step
- similarity search
- high dimensions
- clustering high dimensional data
- variable selection
- feature set
- pattern recognition
- input space
- small sample size
- dimensional data
- manifold learning
- machine learning
- gene expression data
- lower dimensional
- subspace learning
- high dimensional datasets
- text classification
- high dimensional data sets
- linear discriminant analysis
- feature space
- feature extraction
- principal component analysis
- decision trees
- model selection
- feature selection algorithms
- euclidean distance
- feature subset
- training data