期刊文献+

基于聚类分析的K-means算法研究及应用 被引量:124

Application in Cluster's Analysis Is Analyzed in Children Development Period
下载PDF
导出
摘要 通过对聚类分析及其算法的论述,从多个方面对这些算法性能进行比较,同时以儿童生长发育时期的数据为例通过聚类分析的软件和改进的K-means算法来进一步阐述聚类分析在数据挖掘中的实践应用。 This paper passed cluster' s analysis and its algorithm correctly, compared these algorithm performances from a lot of respects, and explained that cluster analysis excavates the practice application of in datum further to come through software and improved K-means algorithm, cluster of analysis at the same time practise application.
出处 《计算机应用研究》 CSCD 北大核心 2007年第5期166-168,共3页 Application Research of Computers
基金 国家自然科学基金资助项目(6037405) "泰山学者"建设工程专项经费资助项目 山东省自然科学基金重大项目(Z2004G02) 山东省中青年科学家奖励基金资助项目(03BS003)
关键词 数据挖掘 聚类分析 数据库 聚类算法 data mining cluster analysis database cluster algorithm
  • 相关文献

参考文献11

  • 1卫生部关于八省(自治区)婴幼儿营养健康状况调查报告[R].北京:新华出版社,2005:1-3.
  • 2杭燕.体育幼儿园现代体育课程模式的探索(上)[J].学前教育文荟,2000,(33).
  • 3GONZALEZ T.Clustering to minimize and maximum intercluster distance[J].Theoretical Computer Science,1985,38(2-3):293-306.
  • 4PAL N R,BEZDEK J C.On cluster validity for the fuzzy c-means model[J].IEEE Transactions on Fuzzy Systems,1995,3(3):370-379.
  • 5HanJiawei KamberM.Data Mining Concepts and Techniques[M].北京:机械工业出版社,2001..
  • 6马庆国.管理统计[M].科学出版社,2002,8..
  • 7WISHART D.K-means clustering with outlier detection:the 25th Annual Conference of the German Classification Society[C].Munich:University of Munich,2001:14-16.
  • 8左子叶,朱扬勇.基于数据挖掘聚类技术的信用评分评级[J].计算机应用与软件,2004,21(4):1-3. 被引量:9
  • 9何彬彬,方涛,郭达志.基于不确定性的空间聚类[J].计算机科学,2004,31(11):196-198. 被引量:8
  • 10钱锋,徐麟文.知识发现中的聚类分析及其应用[J].杭州师范大学学报(自然科学版),2001,5(1):34-37. 被引量:16

二级参考文献16

  • 1[1]Anthony Saunders,Credit Risk Measurement:the next great financial challenge,2nd edition,amozon.com,1998,p.278.
  • 2[2]Altman,E.I.,ZETA Analysis:A New Model to Identify Bankruptcy Risk of Corporations,1977.
  • 3[3]Shumway,T.,Forecasting Bankruptcy More Accurately:A Simple Hazard Model,1998.
  • 4[4]Kealhofer,s.,Credit Risk and Risk Management,1990.
  • 5[5]Anthony Saunders,Credit Risk Measurement:New Approaches to Value at Risk and Other Paradigms,2ndedition,amozon.com,1998.
  • 6[6]David Wishart,k-Means Clustering with Outlier Detection,GfKl 2001,the 25th Annual Conference of the German Classification Society,University of Munich,March 14~16,2001.
  • 7[7]Sudipto Guha,CURE:A clustering algorithm for large databases,Proceedings of the 1998 ACM SIGMOD international conference on Management of data,1999.
  • 8[8]Liadan OCallaghan,Streaming-Data Algorithms For High-Quality Clustering ,Proceedings of IEEE International Conference on Data Algorithms For High-Quality Clustering,Proceedings of IEEE International Conference on Data Engineering,March 2002.
  • 9[9]Haixun Wang,Clustering by pattern similarity in large data sets,Proceedings of the 2002 ACM SIGMOD international conference on Management of data,2002.
  • 10[10]FAS--A Freshness-Sensitive Coordination Middleware for a Cluster of OLAP Components,28th International Conference on Very Large Data Bases,VLDB 2002.

共引文献108

同被引文献911

引证文献124

二级引证文献510

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