摘要
阐述了SOM(Self-Organizing Map)自组织神经网络和Davies-Bouldin聚类判定法。采用SOM网络构建了数据挖掘中数据分析模型,设计了SOM网络数据分析可视化软件,并进行了详细的可视化数据分析。同时,设计的软件已经初步应用到数据挖掘当中,取得了良好的效果。
The Self-Organizing Map(SOM)is an excellent tool in the exploratory phase of data mining. It projects the input space on prototypes of a low-dimensional regular grid that can be effectively utilized to visualize and explore properties of the data. In this paper,SOM and Davies-Boul-din index are investigated. And then, a visualized data analysis mode is designed based on SOM. Finally, a large number of random data are used to test for clustering and visualization analysis. The results show that the approach is effective.
出处
《计算机应用与软件》
CSCD
北大核心
2003年第2期15-16,41,共3页
Computer Applications and Software
