Integration of feature vector selection and support vector machine for classification of imbalanced data.
Jie LiuEnrico ZioPublished in: Appl. Soft Comput. (2019)
Keyphrases
- feature vectors
- support vector machine
- imbalanced data
- svm classifier
- feature space
- decision boundary
- support vector machine svm
- multi class
- feature selection
- feature extraction
- support vector
- imbalanced data sets
- imbalanced datasets
- machine learning
- similarity measure
- euclidean distance
- classification algorithm
- hyperplane
- k nearest neighbor
- ensemble classifier
- support vectors
- image features
- class imbalance
- classification models
- training set
- feature set
- minority class
- benchmark datasets
- training data
- linear regression
- nearest neighbour
- decision trees
- linear classifiers
- training process
- class distribution
- generalization ability
- pattern classification
- image classification
- nearest neighbor
- pattern recognition