Feature Selection With Maximal Relevance and Minimal Supervised Redundancy.
Yadi WangXiaoping LiRubén RuizPublished in: IEEE Trans. Cybern. (2023)
Keyphrases
- feature selection
- minimum redundancy
- feature relevance
- text categorization
- unsupervised feature selection
- unsupervised learning
- mutual information
- minimal length
- machine learning
- feature set
- information retrieval
- text classification
- feature selection algorithms
- high dimensionality
- support vector machine
- feature space
- support vector
- supervised feature selection
- information gain
- semi supervised feature selection
- feature subset
- irrelevant features
- feature extraction
- model selection
- classification accuracy
- supervised and unsupervised learning
- feature selections
- graph classification
- selected features
- dimensionality reduction
- feature weighting
- naive bayes
- supervised learning
- integer points
- multi class
- data sets