一种结构自适应的聚类神经网络

为了解决聚类分析中聚类数的确定问题，在SOFM神经网络的基础上，从聚类准则出发，通过试验对聚类准则的曲线特征进行了详细的分析和论证，设计出一种结构自适应的聚类神经网络，该网络能自动确定最佳的聚类数，并提出了一种减少计算量的改进算法。

A Structure of the Adaptive Neural Network Clustering

Ascertain a problem to gathering the kind number's in clustering analysis having been in progress studying. On SOFM neural net-works basis,the criterion sets off from clustering,analyze and expound and prove detailed by testing that the characteristic has been in pro-gress to clustering criterion curve ,design out one kind of certainly fit in with clustering of structure neural networks, be a network's turn to be able to have ascertained the optimum clustering number voluntarily,and have suggested that one kind cuts down the algorithm calculating the amounts improvement.