Correlation-Guided Updating Strategy for Feature Selection in Classification With Surrogate-Assisted Particle Swarm Optimization.
Ke ChenBing XueMengjie ZhangFengyu ZhouPublished in: IEEE Trans. Evol. Comput. (2022)
Keyphrases
- gene expression data
- feature selection
- high dimensionality
- particle swarm optimization
- classification accuracy
- text classification
- feature space
- feature selection algorithms
- machine learning
- dimensionality reduction
- method for feature selection
- feature extraction
- support vector
- high dimensional
- classification models
- image classification
- support vector machine
- feature set
- feature selection and classification
- text categorization
- mutual information
- pattern recognition
- irrelevant features
- model selection
- feature vectors
- feature subset
- feature subset selection
- selection criterion
- classification performances
- wrapper feature selection
- classification method
- machine learning algorithms
- particle swarm optimization algorithm
- decision trees
- training set
- discriminative features
- unsupervised learning
- bayes classifier
- multi class
- data pre processing
- neural network
- correlation coefficient
- redundant features
- unsupervised feature selection
- supervised learning
- accurate classification
- ensemble classifier
- classification rate
- differential evolution