Medical data set classification using a new feature selection algorithm combined with twin-bounded support vector machine.
Márcio Dias de LimaJuliana de Oliveira Roque e LimaRommel M. BarbosaPublished in: Medical Biol. Eng. Comput. (2020)
Keyphrases
- feature selection algorithms
- feature selection
- support vector machine
- data sets
- small sample
- feature set
- training set
- feature subset
- support vector
- irrelevant features
- classification accuracy
- classification method
- svm classifier
- selection criterion
- support vector machine svm
- training data
- recursive feature elimination
- classification algorithm
- imbalanced datasets
- text categorization
- mutual information
- multi class
- machine learning
- pattern recognition
- feature vectors
- selection algorithm
- neural network
- feature extraction
- decision boundary
- benchmark data sets
- kernel methods
- text classification
- k nearest neighbor
- redundant features
- kernel function
- classification models
- class imbalance
- feature space
- image classification