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An efficient clustering algorithm

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成果类型:
期刊论文
作者:
Jiang, SY*;Xu, YM
通讯作者:
Jiang, SY
作者机构:
[Jiang, SY; Xu, YM] Hengyang Normal Univ, Dept Comp, Hengyang 421008, Peoples R China.
通讯机构:
[Jiang, SY] H
Hengyang Normal Univ, Dept Comp, Hengyang 421008, Peoples R China.
语种:
英文
关键词:
distance;clustering;Data Mining
期刊:
PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7
年:
2004
卷:
3
页码:
1513-1518
机构署名:
本校为第一且通讯机构
院系归属:
计算机科学与技术学院
摘要:
A distance definition for mixed attribute and a simple method to calculate cluster parameter is proposed in this paper. Based on these, we present a clustering algorithm. The algorithm only scans over dataset one pass, and has the nearly linear time complexity with the size of dataset and the numbers of attributes, which make the algorithm deserve good scalability. Finally, we give empirical analysis to demonstrate the effectiveness, the experimental results show that the algorithm a...

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