An Asymmetric Chaotic Competitive Swarm Optimization Algorithm for Feature Selection in High-Dimensional Data.
Supailin PichaiKhamron SunatSirapat ChiewchanwattanaPublished in: Symmetry (2020)
Keyphrases
- optimization algorithm
- high dimensional data
- feature selection
- high dimensionality
- dimensionality reduction
- multi objective
- low dimensional
- dimension reduction
- honey bee
- high dimensional
- particle swarm optimization pso
- particle swarm optimization
- swarm intelligence
- nearest neighbor
- optimization method
- data points
- data sets
- subspace clustering
- gene expression data
- similarity search
- lower dimensional
- high dimensional spaces
- evolutionary multi objective
- differential evolution
- feature space
- linear discriminant analysis
- input data
- clustering high dimensional data
- subspace learning
- text classification
- data analysis
- inertia weight
- feature extraction
- hybrid optimization algorithm
- control parameters
- particle swarm
- machine learning
- global optima
- high dimensional datasets
- principal component analysis
- dimensional data
- artificial bee colony
- objective function
- informative features
- support vector
- genetic algorithm
- manifold learning
- evolutionary algorithm