| 聚类算法在应急系统中的应用 |
| |
| 引用本文： | 张岩,赵政. 聚类算法在应急系统中的应用[J]. 计算机工程与应用, 2006, 42(31): 191-193 |
| |
| 作者姓名： | 张岩 赵政 |
| |
| 作者单位： | 天津大学,计算机科学与技术学院,天津,300072;天津大学,计算机科学与技术学院,天津,300072 |
| |
| 摘 要： | 针对城市中的应急事件,运用数据挖掘技术为应急系统提供高质量的信息支持。应用数据挖掘中的聚类分析手段解决应急事件的分类问题是研究的重点。实现了k-means聚类算法及其扩展算法k-modes,并将它们应用到应急事件的数据库中,最终实现了应急事件的高效分类。
|
| 关 键 词： | 应急系统 数据挖掘 聚类 数值型 离散型 |
| 文章编号： | 1002-8331（2006）31-0191-03 |
| 收稿时间： | 2006-01-01 |
| 修稿时间： | 2006-01-01 |
Application of Clustering Algorithm in Emergency Response System |
| |
| ZHANG Yan,ZHAO Zheng. Application of Clustering Algorithm in Emergency Response System[J]. Computer Engineering and Applications, 2006, 42(31): 191-193 |
| |
| Authors: | ZHANG Yan ZHAO Zheng |
| |
| Abstract: | Aiming for the emergencies of the city,the main object of this paper is taking advantage of the Data mining technique to provide Emergency Response System with a high-quality information support.The central research of this paper is applying the clustering analysis,which is one method of data mining,to solve the classification of emergencies. This paper implements k-means clustering algorithm and its extension-k-modes ,and applies the two algorithms to the database of emergencies,finally achieves the efficient classification of emergencies. |
| |
| Keywords: | emergency response system data mining clustering numeric categorical |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
