基于无监督神经网络聚类算法的研究

The Research of the Clustering Algorithm Based on Unsupervised Neural Networks

本文讨论了基于自组织特征映射网络聚类算法的基本原理,并指出了算法的缺陷。在此基础上,提出了改进的算法,给出了算法的流程,并做了分析。

In this paper, the basic principle of the clustering algorithm based on self - organizing feature map network is discussed, and pointed out its defects. On the base of it, it then presents improved algorithm, offered the flow of it, and analyzed.