Grid method of data clustering based on RBF neural networks
基于RBF神经网络的网格数据聚类方法

Radial Basis Function (RBF) neural networks and grid partition were integrated into a whole in this paper, and an intelligent method of data clustering was proposed, which can process the data in parallel and make increments computation easy. This paper introduced the principle of grid clustering, and the choice of basis functions and the neurons number in RBF neural networks. And then, the clustering strategy and the clustering algorithm were deeply discussed with its aims to identify the locations of data clustering area, and to improve the resolution of data clustering area, and to accelerate the computing. The simulation verifies the validity of this method.