Adaptive multi-subswarm optimisation for feature selection on high-dimensional classification.
Binh TranBing XueMengjie ZhangPublished in: GECCO (2019)
Keyphrases
- feature selection
- high dimensionality
- high dimensional
- feature space
- classification accuracy
- support vector machine
- feature set
- dimension reduction
- classification models
- feature extraction
- text classification
- support vector
- dimensionality reduction
- machine learning
- method for feature selection
- small sample
- discriminative features
- text categorization
- feature reduction
- data pre processing
- accurate classification
- pattern recognition
- classification method
- multi class
- model selection
- feature subset
- gene expression data
- data sets
- classification performances
- high dimensional data
- information gain
- multi task
- feature selection algorithms
- small sample size
- microarray data
- naive bayes
- low dimensional
- image classification
- conditional mutual information
- genetic algorithm
- feature selection and classification
- learning algorithm
- redundant features
- feature vectors
- class separability
- data points
- mutual information
- bayes classifier
- training samples
- selected features
- support vector machine svm
- class labels
- classification algorithm