Surrogate Sample-Assisted Particle Swarm Optimization for Feature Selection on High-Dimensional Data.
Xianfang SongYong ZhangDunwei GongHui LiuWanqiu ZhangPublished in: IEEE Trans. Evol. Comput. (2023)
Keyphrases
- high dimensional data
- particle swarm optimization
- feature selection
- high dimensionality
- dimensionality reduction
- small sample
- high dimensional
- dimension reduction
- low dimensional
- high dimensions
- nearest neighbor
- data sets
- gene expression data
- original data
- subspace clustering
- multi objective
- input space
- text categorization
- linear discriminant analysis
- similarity search
- data points
- missing values
- data analysis
- small sample size
- manifold learning
- high dimensional datasets
- genetic algorithm
- text data
- nonlinear dimensionality reduction
- particle swarm optimizer
- sample size
- text classification
- feature set
- feature space
- feature extraction
- microarray data
- preprocessing step
- principal component analysis
- lower dimensional
- high dimensional spaces
- clustering high dimensional data
- feature subset
- model selection
- dimensional data
- high dimensional data sets
- variable weighting
- locally linear embedding
- variable selection
- support vector machine
- image processing
- machine learning