Self-Weighted Supervised Discriminative Feature Selection via Redundancy Minimization.
Haihong YuLiangliang ZhangZhanshan LiPublished in: IEEE Access (2021)
Keyphrases
- feature selection
- unsupervised learning
- discriminative features
- feature extraction
- feature selection algorithms
- semi supervised
- unsupervised feature selection
- text categorization
- mutual information
- text classification
- machine learning
- support vector machine
- support vector
- microarray data
- informative features
- classification accuracy
- feature set
- supervised feature selection
- knn
- irrelevant features
- information gain
- objective function
- discriminative information
- high dimensionality
- weakly supervised
- naive bayes
- model selection
- multi class
- feature weighting
- selected features
- bayesian network classifiers
- discriminative power
- feature subset
- class separability
- hilbert schmidt independence criterion