A Novel Improved Binary Harris Hawks Optimization For High dimensionality Feature Selection.
Ines LahmarAida Boussaada ZaierMohamed YahiaRidha BoaullèguePublished in: Pattern Recognit. Lett. (2023)
Keyphrases
- high dimensionality
- feature selection
- feature space
- high dimensional
- dimensionality reduction
- high dimensional data
- feature selection and classification
- data dimensionality
- dimension reduction
- text classification
- microarray
- small sample size
- highly correlated
- gene expression data
- small sample
- feature ranking
- redundant features
- data reduction
- small number of samples
- machine learning
- model selection
- noisy data
- text categorization
- classification accuracy
- support vector
- image processing
- microarray datasets
- high dimensional datasets
- feature extraction
- database
- neural network
- irrelevant features
- corner detection
- feature vectors
- low dimensional
- class imbalance