| 在数据挖掘中基于SOM网络的数据分析可视化设计 |
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| 引用本文： | 朱家元,张恒喜,虞健飞.在数据挖掘中基于SOM网络的数据分析可视化设计[J].计算机应用与软件,2003,20(2):15-16,41. |
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| 作者姓名： | 朱家元 张恒喜 虞健飞 |
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| 作者单位： | 西安空军工程大学工程学院,西安,710038 |
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| 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。
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| 关 键 词： | 数据挖掘 SOM网络 数据分析 可视化设计 知识发现 自组织网络 数据库 |
AN APPROACH TO DESIGN OF VISUALIZED DATA ANALYSIS BASED ON SOM IN DATA MINING |
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| Zhu Jiayuan Zhang Hengxi Yu Jianfei.AN APPROACH TO DESIGN OF VISUALIZED DATA ANALYSIS BASED ON SOM IN DATA MINING[J].Computer Applications and Software,2003,20(2):15-16,41. |
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| Authors: | Zhu Jiayuan Zhang Hengxi Yu Jianfei |
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| Abstract: | 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. |
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| Keywords: | Knowledge discovery Data mining Self - organizing map Data analysis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
