| 基于集群的增量分布式RSOM聚类方法 |
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| 引用本文： | 夏胜平,刘建军,袁振涛,虞华,张乐锋,郁文贤.基于集群的增量分布式RSOM聚类方法[J].电子学报,2007,35(3):385-391. |
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| 作者姓名： | 夏胜平 刘建军 袁振涛 虞华 张乐锋 郁文贤 |
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| 作者单位： | 国防科学技术大学电子科学与工程学院ATR重点实验室,湖南长沙 410073 |
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| 基金项目： | 国家高技术研究发展计划(863计划)，国家重点实验室基金 |
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| 摘 要： | 对于海量和高维的大规模数据聚类问题,其数据个数以及模式种类通常处于一个动态增加的过程之中,为此进行增量、并行算法的设计,以提供更好的计算能力是十分必要的.注意到人脑增量学习的本质和RSOM(Recursive Self-Organizing Map)的层次化、分布式结构特点,本文研究了基于高性能集群并行计算环境的增量、分布式RSOM并行算法,并以视频图像特征集实例证实了算法的可行性.
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| 关 键 词： | 数据聚类 增量 分布式并行计算 RSOM(Recursive Self-Organizing Map) 集群系统 |
| 文章编号： | 0372-2112（2007）03-0385-07 |
| 收稿时间： | 2005-12-20 |
| 修稿时间： | 2005-12-202006-08-08 |
Cluster-Computer Based Incremental and Distributed RSOM Data-Clustering |
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| XIA Sheng-ping,LIU Jian-jun,YUAN Zhen-tao,YU Hua,ZHANG Le-feng,YU Wen-xian.Cluster-Computer Based Incremental and Distributed RSOM Data-Clustering[J].Acta Electronica Sinica,2007,35(3):385-391. |
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| Authors: | XIA Sheng-ping LIU Jian-jun YUAN Zhen-tao YU Hua ZHANG Le-feng YU Wen-xian |
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| Affiliation: | Key Lab of Automatic Target Recognition,National University of Defense Technology,Changsha,Hunan 410073,China |
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| Abstract: | For large data-set with high dimeusionality, of which the numbers of samples and patterns increase dynamically, in roder to improve the computing-efficiency, it is necessary to design parallel incremental clustering algorithm. Noticing the nature of the human brain-an incremental studying style, and the hierarchical and distributed structure properties of a RSOM tree, a Cluster- computer system based incremental and distributed parallel algorithm of RSOM tree is proposed. The performance of this method is tested with the large feature data sets which are extracted from a large amount of video pictures. |
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| Keywords: | RSOM(Recursive Self-Organizing Map) |
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