Multi-label Feature Selection Algorithm via Maximizing Label Correlation-Aware Relevance and Minimizing Redundance with Mutation Binary Particle Swarm Optimization.
Xiaolin ZhuYuanyuan TaoJun LiJianhua XuPublished in: DaWaK (2021)
Keyphrases
- multi label
- binary particle swarm optimization
- feature selection algorithms
- fitness function
- feature selection
- text categorization
- multi label classification
- text classification
- graph cuts
- global optimization
- genetic algorithm
- multi label learning
- evolutionary algorithm
- image classification
- data sets
- genetic algorithm ga
- genetic programming
- particle swarm
- multiple labels
- particle swarm optimization
- class labels
- label space
- learning tasks
- differential evolution
- feature subset
- feature set
- selection algorithm
- information retrieval
- machine learning
- neural network
- multi objective
- image segmentation
- high dimensional
- unsupervised learning
- multi class
- support vector machine
- classification accuracy