Label Clustering for Particle Swarm Optimisation based Multi-Label Feature Selection.
Yan LuBach Hoai NguyenBing XuePublished in: SSCI (2022)
Keyphrases
- multi label
- text categorization
- particle swarm optimisation
- feature selection
- text classification
- multi label classification
- multi label learning
- image classification
- image annotation
- graph cuts
- binary classification
- unsupervised learning
- clustering algorithm
- multiple labels
- class labels
- learning tasks
- optimisation problems
- label space
- label assignment
- pso algorithm
- genetic algorithm ga
- optimization algorithm
- classification accuracy
- feature extraction
- particle swarm optimization
- knn
- multi class
- k nearest neighbor
- machine learning
- reinforcement learning
- dimensionality reduction
- particle swarm
- particle swarm optimization pso
- support vector
- feature set
- model selection
- genetic algorithm
- fitness function
- neural network