Construction of EBRB classifier for imbalanced data based on Fuzzy C-Means clustering.
Yang-Geng FuJifeng YeZefeng YinLongjiang ChenYing-Ming WangGenggeng LiuPublished in: Knowl. Based Syst. (2021)
Keyphrases
- fuzzy c means clustering
- imbalanced data
- support vector machine
- ensemble classifier
- svm classifier
- feature selection
- classification models
- fuzzy c means
- minority class
- decision boundary
- class distribution
- decision trees
- training data
- ensemble learning
- ensemble methods
- class imbalance
- linear regression
- random forest
- clustering method
- training set
- feature set
- feature space
- sampling methods
- training samples
- random forests
- machine learning
- image segmentation
- support vector
- linear classifiers
- training dataset
- computer vision
- neural network
- base classifiers
- multi class
- learning algorithm
- support vector machine svm
- cost sensitive learning
- genetic algorithm
- training examples