On Supervised Feature Selection from High Dimensional Feature Spaces.
Yijing YangWei WangHongyu FuC.-C. Jay KuoPublished in: CoRR (2022)
Keyphrases
- high dimensional feature spaces
- supervised feature selection
- unsupervised learning
- feature selection
- text classification
- data sets
- high dimensional feature space
- feature space
- high dimensional data
- high dimensional
- subspace clustering
- feature relevance
- dimensionality reduction
- subspace clusters
- machine learning
- image processing
- genetic algorithm