| 基于数据流的BIRCH改进聚类算法 |
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| 引用本文： | 忻凌,倪志伟,黄玲.基于数据流的BIRCH改进聚类算法[J].计算机工程与应用,2007,43(5):166-168. |
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| 作者姓名： | 忻凌 倪志伟 黄玲 |
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| 作者单位： | 合肥工业大学,管理学院,合肥,230009 |
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| 基金项目： | 国家自然科学基金
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安徽省自然科学基金 |
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| 摘 要： | 数据流管理作为一种新兴课题正在逐渐受到国内外广大研究学者的重视,数据流聚类是其中的一个重要研究领域。论文基于BIRCH聚类算法,提出了一种M-BIRCH聚类算法,克服了BIRCH算法对非球形的聚类效果不佳等缺点。实验结果证明,M-BIRCH聚类算法在聚类质量上比BIRCH有较大提高。
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| 关 键 词： | 数据流 聚类 数据挖掘 BIRCH算法 |
| 文章编号： | 1002-8331（2007）05-0166-03 |
| 修稿时间： | 2006-10 |
Modifiable BIRCH cluster algorithm used in data streams |
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| XIN Ling,NI Zhi-wei,HUANG Ling.Modifiable BIRCH cluster algorithm used in data streams[J].Computer Engineering and Applications,2007,43(5):166-168. |
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| Authors: | XIN Ling NI Zhi-wei HUANG Ling |
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| Affiliation: | Hefei Univ. of Tech.,Hefei 230009,China |
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| Abstract: | As a new problem,data stream management has been focused on by a lot of scholars.Data clustering is an important field of it.Based on BIRCH cluster algorithm,this paper proposes a new algorithm M-BIRCH.It can overcome the problem of Birch that is not capable enough to cluster arbitrary shapes.In the experiment,it is shown that M-BIRCH is better than BIRCH in clustering quality. |
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| Keywords: | data stream clustering data mining BIRCH algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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