Selecting feature subset for high dimensional data via the propositional FOIL rules.
Guangtao WangQinbao SongBaowen XuYuming ZhouPublished in: Pattern Recognit. (2013)
Keyphrases
- high dimensional data
- feature subset
- selection algorithm
- feature subset selection
- dimensionality reduction
- feature selection
- selecting features
- nearest neighbor
- low dimensional
- rule learning
- high dimensional
- rule learner
- subspace clustering
- data sets
- high dimensionality
- data points
- classification accuracy
- clustering high dimensional data
- missing values
- feature set
- high dimensional spaces
- feature space
- genetic algorithm ga
- inductive logic programming
- data analysis
- manifold learning
- feature selection algorithms
- gene expression data
- selected features
- input data
- high dimensional datasets
- k nearest neighbor
- artificial neural networks
- optimization method
- background knowledge
- clustering method
- pattern recognition
- learning algorithm