Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification

Abstract

The classification results on the benchmark dataset show that CSRGELM can obtain better classification results compared with other methods. More importantly, we also apply the new method to the classification problems of cancer samples and get a good classification effect.