OALDPC: oversampling approach based on local density peaks clustering for imbalanced classification.
Junnan LiQingsheng ZhuPublished in: Appl. Intell. (2023)
Keyphrases
- class imbalance
- classification accuracy
- unsupervised learning
- unsupervised classification
- pattern recognition
- high dimensionality
- unsupervised clustering
- support vector machine
- classification algorithm
- clustering algorithm
- support vector
- feature selection
- imbalanced datasets
- classification models
- clustering method
- machine learning
- feature extraction
- supervised learning
- feature vectors
- k means
- support vector machine svm
- decision trees
- binary classification problems
- supervised classification
- hierarchical clustering
- document clustering
- active learning
- feature set
- outlier detection
- arbitrary shape
- self organizing maps
- class labels
- imbalanced data
- image classification
- single class