An evolutionary feature selection method based on probability-based initialized particle swarm optimization.
Xiaoying PanMingzhu LeiJia SunHao WangTong JuLin BaiPublished in: Int. J. Mach. Learn. Cybern. (2024)
Keyphrases
- mutual information
- particle swarm optimization
- high accuracy
- support vector machine
- significant improvement
- experimental evaluation
- clustering method
- detection method
- dynamic programming
- classification accuracy
- unsupervised learning
- particle swarm
- feature set
- preprocessing
- synthetic data
- cross entropy
- unsupervised feature selection
- feature selection
- classification method
- text classification
- convergence rate
- feature weighting
- method for feature selection
- segmentation method
- model selection
- machine learning
- objective function
- feature extraction
- image segmentation
- genetic algorithm