基于神经网络的聚类分析方法及在港口设备配置中的应用

Clustering of Data Mining Based on Neural Network and Its Application in Port Equipment Allocation

分析了数据挖掘中聚类分析方法的特点,在对Kohonen神经网络的工作机理及算法研究的基础上,提出了用Kohonen神经网络和Matlab实现数据挖掘中的聚类,并对港口拖轮作业配置实例进行了测试和仿真分析。

This paper analyses the characteristic of clustering of data mining. On the basis of research into the principle and algorithm of Kohonen neural network, it presents a method to implement the clustering of data mining by using Kohonen neural network and Matlab. And it also gives an instance to test and simulate.