DFS-WR: A novel dual feature selection and weighting representation framework for classification.
Zhimin ZhangFan ZhangLingfeng MaoCheng ChenHuansheng NingPublished in: Inf. Fusion (2024)
Keyphrases
- feature selection
- classification accuracy
- unsupervised learning
- text classification
- support vector
- representation scheme
- classification models
- feature weighting
- machine learning
- image classification
- feature extraction
- feature space
- feature set
- high dimensionality
- multi task
- pattern recognition
- support vector machine
- method for feature selection
- feature subset
- information gain
- feature representation
- support vector classification
- unsupervised feature selection
- wrapper feature selection
- bayesian classifier
- ensemble classifier
- decision trees
- training set
- search algorithm