期刊文献+

常用聚类算法比较分析 被引量:8

Analysis of General Clustering Algorithm
下载PDF
导出
摘要 数据挖掘是目前一种新的重要的研究领域,而聚类分析是其重要的方法.本文对常用聚类算法进行比较分析指出各自特点以便能更好的掌握和使用. Data mining has numerous applications and has been studied extensively. One of important techniques of it is Clustering. In this paper, we present and analyze two types of clustering algorithms for better understanding and using
出处 《电脑知识与技术(过刊)》 2007年第2期471-472,共2页 Computer Knowledge and Technology
关键词 数据挖掘 聚类 层次聚类 data mining clustering hierarchical clustering
  • 相关文献

参考文献6

  • 1[1]Sanguthevar Rajasekaran.Efficient Parallel HierarchicalClustering Algorithms.IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS,VOL.16,NO.6,JUNE 2005.
  • 2[2]Everitt,B.S.,Landau,S.& Leese,M.(2001).Cluster analysis.London:Arnold.
  • 3[3]Margaret H.Dunhan著.郭崇慧,等译.数据挖掘教程[M].清华大学出版社.
  • 4[4]Tian Zhang,Raghu Ramakrishnan and Miron Livny.BIRCH:An Efficient Data Clustering Method for Very Large Database,Technical Report,Computer Sciences Dept.,Univ.of Wisconsin-Madison,1995.
  • 5[5]Zhang,T.,Ramarkrishnan,R.,Livny,M.BIRCH:an efficient data clustering method for very large databases.In:Jagadish,H.V.,Mumick,I.S.,eds.Proceedings of the 1996 ACM SIGMOD Intermational Conference on Management of Data.quebec:ACM Press,1996.103-114.
  • 6[6]Guha S,Rastogi R,Shim K.CURE:an efficient clustering algorithm for large database.In:Haas LM,Tiwary A,eds.Proceedings of the ACM SIGMOD International Conference on Management of Date.Seattle:ACM Press,1998.73-84.

同被引文献74

引证文献8

二级引证文献24

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部