计算机与现代化 ›› 2010, Vol. 1 ›› Issue (5): 16-18.doi: 10.3969/j.issn.1006-2475.2010.05.005

• 人工智能 • 上一篇    下一篇

基于网格分区确定DBSCAN参数的方法

庞 洋1,徐巧凤2   

  1. 1.中国人民解放军71282部队,河南 洛阳 471022;  2.河南省洛阳市坛角小学,河南 洛阳 471000
  • 收稿日期:2009-10-14 修回日期:1900-01-01 出版日期:2010-05-10 发布日期:2010-05-10

Achieving Parameter of DBSCAN Based on Datagrid

PANG Yang1, XU Qiao-feng2   

  1. 1. 71282 Department of PLA, Luoyang 471022, China;2. Tanjiao Primary School of Luoyang, Luoyang 471000, China
  • Received:2009-10-14 Revised:1900-01-01 Online:2010-05-10 Published:2010-05-10

摘要: 基于密度的DBSCAN算法仅需要两个参数,可以在带有噪声的空间数据库中发现任意形状的聚类,但是它对于参数Eps非常敏感。本文提出一种基于网格进行数据分区,从而确定Eps的方法,可以对密度分布不均且聚类形状有交错的情况达到更好的聚类效果。

关键词: DBSCAN参数, 网格, 分区

Abstract: The algorithm GDBSCAN only needs two parameters. It can discover clusters of any shape. But it is very sensitive to the parameter Eps. This paper puts forward a kind of method to make sure the Eps, which is based on datagrid. The method can achieve better result on the case of data distributing unevenly and shapes of clusters reaching each other.

Key words: parameter of DBSCAN, datagrid, area

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