Kernel local outlier factor-based fuzzy support vector machine for imbalanced classification.
Kefan WangJing AnZiBo YuXingshu YinChao MaPublished in: Concurr. Comput. Pract. Exp. (2021)
Keyphrases
- fuzzy support vector machine
- support vector
- classification accuracy
- feature space
- decision trees
- class imbalance
- machine learning
- kernel methods
- feature vectors
- pattern recognition
- feature extraction
- text classification
- support vector machine svm
- class separability
- pattern classification
- feature selection
- classification method
- decision rules
- class labels
- kernel function
- training samples
- imbalanced data
- support vector machine
- imbalanced data sets
- training set