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计算机工程 ›› 2008, Vol. 34 ›› Issue (23): 86-88. doi: 10.3969/j.issn.1000-3428.2008.23.032

• 软件技术与数据库 • 上一篇    下一篇

基于不均匀密度的自动聚类算法

崔尚卿1,2,马秀莉1,唐世渭1,王文清2   

  1. (1. 北京大学视觉与听觉信息处理国家重点实验室,北京 100871;2. 北京大学数字图书馆研究所,北京 100871)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2008-12-05 发布日期:2008-12-05

Auto-clustering Algorithm Based on Non-uniform Density

CUI Shang-qing1,2, MA Xiu-li1, TANG Shi-wei1, WANG Wen-qing2   

  1. (1. State Key Lab of Optical & Auditive Information Processing, Peking University, Beijing 100871; 2. Institute of Digital Library, Peking University, Beijing 100871)
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-12-05 Published:2008-12-05

摘要: 针对基于密度的聚类算法不能自动处理密度分布不均匀的数据问题,提出一种基于不均匀密度的自动聚类算法。该算法既保持了一般基于密度算法的优点,也能有效地处理分布不均匀的数据。实验结果表明,该算法是有效的。

关键词: 聚类, 密度, 不均匀, 数据挖掘

Abstract: According to the fact that few density-based clustering algorithm can automatically process the data with non-uniform density, an auto-clustering algorithm based on non-uniform density is proposed. This algorithm has all the merits of the existed density-based clustering algorithm and can deal with the date effectively. Experimental results show its efficiency.

Key words: clustering, density, non-uniform, data mining

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