| 基于加权相似性的BIRCH聚类算法 |
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| 引用本文： | 邹杰涛,赵方霞,汪海燕. 基于加权相似性的BIRCH聚类算法[J]. 数学的实践与认识, 2011, 41(16) |
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| 作者姓名： | 邹杰涛 赵方霞 汪海燕 |
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| 作者单位： | 北方工业大学理学院,北京,100144 |
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| 摘 要： | BIRCH方法是一个集成的层次聚类方法.它克服了凝聚层次聚类方法所面临的两个难点:可伸缩性和不能撤销前一步工作的问题.基于BIRCH聚类的多阶段聚类算法思想,结合基于权重的欧式距离度量和基于划分的K-means算法,提出了一种基于加权相似性的BIRCH聚类方法,并将方法应用在时间序列的气象数据分析中.
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| 关 键 词： | 数据挖掘 聚类分析 气象数据 时间序列 |
BIRCH Clustering Algorithm Based on the Weighted Similarity |
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| ZOU Jie-tao,ZHAO Fang-xia,WANG Hai-yan. BIRCH Clustering Algorithm Based on the Weighted Similarity[J]. Mathematics in Practice and Theory, 2011, 41(16) |
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| Authors: | ZOU Jie-tao ZHAO Fang-xia WANG Hai-yan |
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| Affiliation: | ZOU Jie-tao,ZHAO Fang-xia,WANG Hai-yan (College of Sciences,North China University of Technology,Beijing 100144,China) |
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| Abstract: | BIRCH is an integrated method of hierarchical clustering.It conquers two difficulties of condensation hierarchical clustering,which are the problems of scalability and rollback.Based on the idea of multi-stage clustering of the BIRCH algorithm,with the weight-based Euclidian distance metric and partition-based K-means algorithm,this paper proposes the BRICH clustering algorithm based on the weighted similarity,and the method is applied into the time series analysis of meteorology data. |
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| Keywords: | data mining clustering meteorology data time series |
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