Majority re-sampling via sub-class clustering for imbalanced datasets

Keyphrases

• Resampling 100%
• Imbalanced Data 100%
• Class Clustering 100%
• Clustering Algorithm 40%
• Majority Class 40%
• Minority Class 40%
• Class-imbalanced Datasets 40%
• Problem Domain 20%
• Training Set 20%
• K-means 20%
• Ensemble Classifier 20%
• Overfitting 20%
• Undersampling 20%
• Class Imbalance 20%
• Number of Data 20%
• KNN Classifier 20%
• Single Classifier 20%
• Affinity Propagation 20%
• Rebalance 20%
• Imbalance Ratio 20%
• Oversampling Technique 20%
• Synthetic Minority 20%
• Multi-class Dataset 20%

Computer Science

• Clustering Algorithm 100%
• Majority Class 100%
• Minority Class 100%
• Problem Domain 50%
• Experimental Result 50%
• ensemble classifier 50%
• k-Nearest Neighbors Algorithm 50%
• Affinity Propagation 50%
• Sampling Approach 50%
• Sampling Technique 50%
• Imbalance Ratio 50%