A Novel Multiple Classifier Generation and Combination Framework Based on Fuzzy Clustering and Individualized Ensemble Construction

1 code implementation • 31 Jul 2019 • Zhen Gao, Maryam Zand, Jianhua Ruan

In testing, ICE finds the k most similar training instances for a testing instance, then predicts class label of the testing instance by averaging the prediction from models associated with these training instances.

Clustering General Classification