不确定性数据的聚类分析研究及应用
CSTR:
作者:
基金项目:

黑龙江省自然科学基金(No.F200603)


Application and research of analysis cluestering based on uncertain data
Author:
  • 摘要
  • | |
  • 访问统计
  • |
  • 参考文献 [10]
  • |
  • 相似文献
  • |
  • 引证文献
  • | |
  • 文章评论
    摘要:

    对近年来不确定性数据聚类算法的研究现状与进展进行总结。首先对较有代表性的聚类算法,从思想、关键技术和优缺点等方面进行分析。其次选用数据集对基于密度的算法进行测试和对比分析。并给出基于不确定性数据的聚类算法,上述工作将为不确定数据管理提供有益的参考。

    Abstract:

    The classic algorithm of analysis clustering basing on uncertain data is discussed. The re-search actuality and new progress in uncertain data clustering algorithm in recent years are summa-rued in this paper. First the analysis and induction of some representative uncertain data clustering algorithms have been made from several aspects,such as the ideas of algorithm,key technology, ad-vantage and disadvantage. Second,several typical density-based algorithms and known data sets areselected; experiments are implemented and comparing with the same clustering of the data set under different algorithms. The clustor analysis was given by basing on compareding uncertain data in this paper. The above work can give a valuable reference for management of uncertain data.

    参考文献
    [1]周傲英,金澈清,王国仁,等.不确定性数据管理技术研究综述[J].计算机学报.2009,32(1):1-16.
    [2]杨小兵.聚类分析中若干关键技术的研究[D].杭州:浙江大学计算机学院.2005.
    [3]KRIEGEL H P,PFEIFLE M.Density-based clustering of uncertain data[C]//.Proceedings of the 1 1th ACM SIGKDD International Conference on Knowledge Discovery in Data Mining.Chicago,2005:672-677
    [4]KRIEGEL H P,PFEIFLE M. Hierarchical densitybased clustering of uncertain data[C]//.Proceedings of 5th International Conference on Data Mining.Houston,2005:689-692.
    [5]许华杰,李国徽,杨兵,等.基于密度的不确定性数据概率聚类[J].计算机科学,2009,36(5):68-72.
    [6]M CHAU R.CHENG B.KAO B,et al.Uncertain data mining:An example in clustering location data[C]//.In Pacific Asia Conferenceon Knowledge Discovery and Data Mining,2005:199-204.
    [7]NGAI W K,KAO B,CHUI C K,et al.Efficient clustering of uncertain data[C]//.Proceedings of the 6th International Conference on Data Mining. Hong Kong,2006:436-445.
    [8]CORMODE G,MCGREGOR A. Approximation algorithms for clustering uncertain data[C]//.Proceedings of the 27th ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems. Vancouver,2008:191-200.
    [9]STONEBRAKER M,FREW J,GARDELS K,et al.The SEQUOIA 2000 Storage Benchmark[C]//.The 1993ACM SIGMOD International Conference on Management of Data.Washington,1993:56-98.
    [10]YEUNG K,RUZZO W.An empirical study on principal componen analysis for clustering gene expression data[J].Bioinformatics,2001,17 (9):763-774.
    相似文献
    引证文献
引用本文

顾洪博,张继怀.不确定性数据的聚类分析研究及应用[J].河北工程大学自然版,2012,29(1):109-112

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2011-11-22
  • 在线发布日期: 2015-01-12
文章二维码