模糊超球质心聚类神经网络

基于人的大脑进行聚类分析所遵循的基本原则，提出了一种模糊超球质心聚类神经网络学习算法，该方法无需用户事先给定聚类个数K，通过神经网络自组织学习，可以正确识别聚类个数与聚类中心。实验结果表明，该算法是一种全新的聚类方法，具有学习时间短，稳定性强且不依赖于聚类样本的输入顺序等优点。

Neural Networks of Fuzzy Hypersphere Barycenter Clustering

Based on the fundamental rules of human brain's analyzing and reasoning in clustering, this paper proposes a learning algorithm of neural networks of fuzzy hypersphere barycenter Clustering. Clustering numbers need not be provided for the algorithm. Through self-adapt learning of neural networks, the clustering numbers and centers can be established correctly. Simulation results indicate that the algorithm is a totally new clustering method, which is characterized by high efficiency, strong stability and independence from input order of clustering samples.