| Clustering Categorical Data：A Cluster Ensemble Approach |
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| 引用本文： | 何增友,Xu Xiaofei,Deng Shengchun. Clustering Categorical Data：A Cluster Ensemble Approach[J]. 高技术通讯(英文版), 2003, 9(4): 8-12 |
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| 作者姓名： | 何增友 Xu Xiaofei Deng Shengchun |
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| 作者单位： | DepartmentofComputerScienceandEngineering,HarbinInstituteofTechnology,Harbin150001,P.R.China |
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| 基金项目： | SupportedbyHighTechnologyResearchandDevelopmentProgramofChinaandIBMSURResearchFund |
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| 摘 要： | Clustering categorical data, an integral part of data mining, has attracted much attention recently. In this paper, the authors formally define the categorical data clustering problem as an optimization problem from the viewpoint of cluster ensemble, and apply cluster ensemble approach for clustering categorical data. Experimental results on real datasets show that better clustering accuracy can be obtained by comparing with existing categorical data clustering algorithms.
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| 关 键 词： | 集群技术 分类数据 非线性动力系统 计算机技术 |
Clustering Categorical Data:A Cluster Ensemble Approach |
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| Xu Xiaofei,Deng Shengchun. Clustering Categorical Data:A Cluster Ensemble Approach[J]. High Technology Letters, 2003, 9(4): 8-12 |
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| Authors: | Xu Xiaofei Deng Shengchun |
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| Abstract: | Clustering categorical data, an integral part of data mining,has attracted much attention recently. In this paper, the authors formally define the categorical data clustering problem as an optimization problem from the viewpoint of cluster ensemble, and apply cluster ensemble approach for clustering categorical data. Experimental results on real datasets show that better clustering accuracy can be obtained by comparing with existing categorical data clustering algorithms. |
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| Keywords: | clustering categorical data cluster ensemble data mining |
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