Oversampling for Imbalanced Learning Based on K-Means and SMOTE

Felix Last, Georgios Douzas, Fernando Bacao

Learning from class-imbalanced data continues to be a common and challenging problem in supervised learning as standard classification algorithms are designed to handle balanced cl…