Multi-label feature selection based on relative entropy and fuzzy neighborhood mutual discrimination index.
Chenxi WangChen EMengli RenLei GuoXiehua YuYaojin LinShaozi LiPublished in: Concurr. Comput. Pract. Exp. (2023)
Keyphrases
- multi label
- relative entropy
- feature selection
- text categorization
- mutual information
- text classification
- information theoretic
- multi label classification
- information theory
- graph cuts
- binary classification
- image annotation
- covariance matrix
- learning tasks
- image classification
- support vector machine
- multi class
- classification accuracy
- naive bayes
- class labels
- dimensionality reduction
- model selection
- index structure
- feature space
- feature extraction
- max margin
- maximum entropy
- machine learning
- k nearest neighbor
- feature set
- knn
- labeled data
- unsupervised learning
- active learning
- support vector