An efficient supervised clustering algorithm based on neural networks

Clustering is a fundamental technology in Artificial Intelligence. Radial basis function neural network (RBFN) is a kind of Artificial Neural Network with simple structure. In this paper, we introduce supervised clustering into RBFN and create a novel supervised fuzzy clustering network based on linear regression model which shows better results in regression task. We propose a novel local modeling technology based on fuzzy partition and supervised clustering which uses different algorithms according to each subset´s modeling difficulty respectively and thus overcomes its antecessors´ shortcomings.