Ensemble classification based on supervised clustering for credit scoring

- Supervised clustering is employed to generate a number of clusters.
- Clusters from different classes are pairwise combined to get a number of training subsets.
- The base classifiers constructed in the training subsets are diverse and locally accurate.
- Weighted voting mechanism is used to ensemble the base classifiers.
- The proposed approach improves the accuracy of credit scoring.