Feature Selection for High-Dimensional Data Based on a Multi-objective Particle Swarm Optimization with Self-adjusting Strategy Pool.
Yingyu PengRuiqi WangDandan YuYu ZhouPublished in: NCAA (1) (2022)
Keyphrases
- high dimensional data
- dimensionality reduction
- high dimensionality
- feature selection
- multi objective particle swarm optimization
- dimension reduction
- nearest neighbor
- low dimensional
- high dimensional
- data analysis
- data points
- gene expression data
- similarity search
- data sets
- subspace clustering
- feature extraction
- clustering high dimensional data
- linear discriminant analysis
- manifold learning
- high dimensional spaces
- feature space
- highly competitive
- machine learning
- feature set
- input data
- knn
- high dimensional datasets
- classification accuracy
- particle swarm optimization
- text classification
- principal component analysis
- upper bound
- particle swarm optimisation
- support vector