Cluster-computer based incremental and distributed RSOM data-clustering

被引：0

作者：

Xia, Sheng-Ping ^{[1
]}

Liu, Jian-Jun ^{[1
]}

Yuan, Zhen-Tao ^{[1
]}

Yu, Hua ^{[1
]}

Zhang, Le-Feng ^{[1
]}

Yu, Wen-Xian ^{[1
]}

机构：

[1] Key Lab. of Automatic Target Recognition, National University of Defense Technology, Changsha 410073, China

来源：

Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2007年 / 35卷 / 03期

关键词：

Computer systems - Data mining - Parallel algorithms - Parallel processing systems - Pattern recognition - Self organizing maps;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

For large data-set with high dimensionality, of which the numbers of samples and patterns increase dynamically, in order 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.

引用

页码：385 / 391

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