A novel random multi-subspace based ReliefF for feature selection.
Baoshuang ZhangYanying LiZheng ChaiPublished in: Knowl. Based Syst. (2022)
Keyphrases
- feature selection
- information gain
- feature subset
- feature space
- dimensionality reduction
- text categorization
- mutual information
- feature selections
- feature extraction
- high dimensional data
- low dimensional
- machine learning
- text classification
- principal component analysis
- classification accuracy
- support vector
- selected features
- naive bayes
- high dimensional
- high dimensionality
- subspace learning
- neural network
- clustering high dimensional data
- unsupervised feature selection
- irrelevant features
- feature weighting
- subspace clustering
- feature selection algorithms
- decision trees
- classification models