| 一种基于加权欧氏距离聚类方法的研究 |
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| 引用本文： | 宋宇辰,张玉英,孟海东. 一种基于加权欧氏距离聚类方法的研究[J]. 计算机工程与应用, 2007, 43(4): 179-180,226 |
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| 作者姓名： | 宋宇辰 张玉英 孟海东 |
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| 作者单位： | 中国地质大学,地球物理与信息技术学院,北京,100083;内蒙古科技大学,计算机中心,内蒙古,包头,014010;内蒙古科技大学,网络中心,内蒙古,包头,014010 |
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| 基金项目： | 内蒙古自治区高等教育科学研究资助项目 |
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| 摘 要： | 聚类分析中最常用的距离度量方法是欧氏距离。针对传统的基于欧氏距离计算相似度的不足，提出了一种在领域知识未知的情况下基于加权欧氏距离的计算方法。并对此进行了分析与研究。实验证明，该方法不仅在一定程度上克服了欧氏距离的缺陷，而且能够提高聚类质量，优化聚类性能。
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| 关 键 词： | 聚类分析 加权欧氏距离 权重 复相关系数 |
| 文章编号： | 1002-8331（2007）04-0179-02 |
| 修稿时间： | 2006-05-01 |
Research based on euclid distance with weights of clustering method |
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| SONG Yu-chen,ZHANG Yu-ying,MENG Hai-dong. Research based on euclid distance with weights of clustering method[J]. Computer Engineering and Applications, 2007, 43(4): 179-180,226 |
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| Authors: | SONG Yu-chen ZHANG Yu-ying MENG Hai-dong |
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| Affiliation: | 1.School of Geophysics and Geoinformation Systems,China University of Geosciences,Beijing 100083,China 2.Computer Center,Inner Mongolia University of Science and Technology,Baotou,Mongolia 014010,China 3.Network Center, Inner Mongolia University of Science and Technology, Baotou,Mongolia 014010,China |
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| Abstract: | Euclid distance is commonly used to measure distance in clustering analysis algorithm.The clustering analysis based on weighted Euclid distance is researched and presented to overcome the existing problems of similarity calculation in clustering analysis based on traditional Euclid distance when we have no any domain knowledge about the data objects.The experiment shows that the method has not only to certain extent overcome limitation of Euclid distance,but also been improving the clustering quality and optimizing performance. |
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| Keywords: | clustering analysis weighted Euclid distance weight compound correlation coefficient |
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