An adaptively balanced grey wolf optimization algorithm for feature selection on high-dimensional classification.
Jing WangDakun LinYuanzi ZhangShiguo HuangPublished in: Eng. Appl. Artif. Intell. (2022)
Keyphrases
- optimization algorithm
- feature selection
- high dimensional
- high dimensionality
- multi objective
- feature space
- classification accuracy
- dimensionality reduction
- machine learning
- support vector
- text classification
- dimension reduction
- classification models
- optimization method
- differential evolution
- particle swarm optimization pso
- small sample
- optimization strategy
- evolutionary multi objective
- feature set
- feature extraction
- classification method
- support vector machine
- control parameters
- decision trees
- support vector machine svm
- hybrid optimization algorithm
- gene expression data
- feature subset
- feature vectors
- nearest neighbor
- multi class
- high dimension
- text categorization
- irrelevant features
- bp neural network
- knn
- high dimensional data
- low dimensional
- evolutionary algorithm
- discriminative features
- objective function
- microarray data
- similarity search
- artificial bee colony
- method for feature selection