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不确定性数据的聚类分析研究及应用
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]. 河北煤炭建筑工程学院学报, 2012, 0(1): 109-112
作者姓名:顾洪博  张继怀
作者单位:[1]东北石油大学计算机与信息技术学院,黑龙江大庆163318 [2]大庆市让胡路区政府,黑龙江大庆163712
基金项目:黑龙江省自然科学基金(No.F200603)
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。

关 键 词:聚类分析  不确定性数据  基于密度  基于划分

Application and research of analysis cluestering based on uncertain data
GU Hong-bo,ZHANG Ji-huai. Application and research of analysis cluestering based on uncertain data[J]. , 2012, 0(1): 109-112
Authors:GU Hong-bo  ZHANG Ji-huai
Affiliation:1.College of Computer & Information Technology,Northeast China Petroteum University,Heilongjiang Daqing 163318,China;2.Ranghu Road district Government of Daqing,Heilongjiang Daqing,163712,China)
Abstract:The classic algorithm of analysis clustering basing on uncertain data is discussed.The research actuality and new progress in uncertain data clustering algorithm in recent years are summarized 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,advantage and disadvantage.Second,several typical density-based algorithms and known data sets are selected;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.
Keywords:cluster analysis  uncertain data  density-based  partition-based
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