A Two-stage Clustering Undersampling for Class-overlapped Imbalanced Classification.
Yue GuiYuanting YanPublished in: CCIS (2023)
Keyphrases
- class imbalance
- majority class
- minority class
- single class
- imbalanced datasets
- binary classification problems
- high dimensionality
- class labels
- multi class problems
- class specific
- clustering method
- multi class
- clustering analysis
- classification accuracy
- support vector machine
- unsupervised learning
- supervised classification
- class imbalanced
- feature vectors
- multi class classification
- unsupervised clustering
- cost sensitive learning
- decision trees
- classification method
- support vector
- class separability
- support vector machine svm
- image classification
- unsupervised classification
- imbalanced class distribution
- clustering algorithm
- supervised learning
- feature space
- pattern recognition
- feature selection
- feature extraction
- multiclass classification
- pattern classification
- imbalanced data sets
- output space
- intra class
- training set
- active learning
- rare class
- training data
- data points
- multiple classes
- cost sensitive
- class distribution
- training dataset