A K-means Clustering Based Under-Sampling Method for Imbalanced Dataset Classification.
Chih-Ming HuangChuan-Sheng HungYao-Yuan HsuYou-Cheng ZhengCheng-Han YuChun-Hung Richard LinShi-Huang ChenPublished in: ICOIN (2024)
Keyphrases
- imbalanced datasets
- k means
- rare class
- decision trees
- pattern classification
- classification algorithm
- machine learning
- support vector machine svm
- prediction accuracy
- classification accuracy
- feature vectors
- feature space
- class labels
- support vector
- feature selection
- multi class
- supervised learning
- svm classifier
- machine learning methods
- training data
- classification models
- class distribution
- class imbalance
- sampling methods
- clustering algorithm