Clustering-Guided Particle Swarm Feature Selection Algorithm for High-Dimensional Imbalanced Data With Missing Values.
Yong ZhangYan-Hu WangDun-Wei GongXiaoyan SunPublished in: IEEE Trans. Evol. Comput. (2022)
Keyphrases
- missing values
- imbalanced data
- high dimensional data
- imbalanced datasets
- feature selection algorithms
- high dimensional
- feature selection
- cost sensitive learning
- high dimensionality
- dimensionality reduction
- low dimensional
- missing data
- data points
- data sets
- class imbalance
- feature space
- particle swarm optimization
- optimization method
- nearest neighbor
- unsupervised learning
- original data
- class distribution
- minority class
- data analysis
- feature extraction
- ensemble methods
- random forest
- text categorization
- genetic programming
- support vector machine