| 聚类集成方法研究 |
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| 引用本文： | 杨草原,刘大有,杨博,池淑珍,金弟.聚类集成方法研究[J].计算机科学,2011,38(2):166-170. |
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| 作者姓名： | 杨草原 刘大有 杨博 池淑珍 金弟 |
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| 作者单位： | 1. 吉林大学计算机科学与技术学院,长春,130012
2. 吉林大学符号计算与知识工程教育部重点实验室,长春,130012 |
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| 基金项目： | 本文受国家自然科学基金项目(60773099,60873149,60973088),国家863高技术研究发展计划项目(2006AA10Z245,2006AA10A309),，央高校基本科研业务费专项资金资助。 |
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| 摘 要： | 聚类集成通过对原始数据集的多个聚类结果进行学习和集成，得到一个能较好地反映数据集内在结构的数据划分。聚类集成能够较好地检测和处理孤立点，提高聚类结果质量。综述了聚类集成的相关知识，介绍了聚类集成的相关概念和优点;根据使用的聚类算法介绍了3种产生聚类成员方法，分析了各自的优缺点及适用条件;介绍了目前已有的一致性函数，阐述了其基本原理，并指出了其局限;最后讨论了未来的研究方向。
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| 关 键 词： | 聚类集成，聚类成员，一致性函数，聚类算法 |
Research on Cluster Aggregation Approaches |
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| YANG Cao-yuan,LIU Da-you,YANG Bo,CHI Shu-zhen,JIN Di.Research on Cluster Aggregation Approaches[J].Computer Science,2011,38(2):166-170. |
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| Authors: | YANG Cao-yuan LIU Da-you YANG Bo CHI Shu-zhen JIN Di |
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| Affiliation: | (College of Computer Science and Technology, Jilin University, Changchun 130012 , China)(Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012 , China) |
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| Abstract: | Clustering aggregation can offer a partition that could better reflect the inherent structure of the data set by studying and integrating many clustering results of the original data set. Clustering aggregation could detect and deal with the isolated points preferably, which improves the quality of clustering. This paper made an overview of the relevant knowledge of the clustering aggregation, presented the concepts and advantages of clustering aggregation. It presented three approaches to get clustering members according to the ucsd cluster algorithms; analysed their respective advantages, disadvantages and application conditions; presented the existing consensus functions; explained the basic principles and pointed out their limitations. Finally, it discussed the future research directions. |
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| Keywords: | Clustering aggregation Clustering member Consensus function Clustering algorithms |
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