| 一种改进的k-均值聚类算法 |
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| 引用本文： | 徐义峰,陈春明,徐云青. 一种改进的k-均值聚类算法[J]. 计算机应用与软件, 2008, 25(3): 275-277 |
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| 作者姓名： | 徐义峰 陈春明 徐云青 |
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| 作者单位： | 1. 衢州学院信息与电子工程系,浙江,衢州,324000
2. 桂林电子科技大学图书馆,广西,桂林,541004 |
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| 摘 要： | 针对k-均值(k-means)聚类算法中随机选取初始聚类中心的缺陷,提出了一种新的基于数据样本分布选取初始聚类中心的方法.实验结果表明,改进后的算法能改善其聚类性能,并能取得较高的分类准确率.
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| 关 键 词： | k-均值聚类 聚类中心 数据分布 |
| 收稿时间： | 2007-02-05 |
| 修稿时间： | 2007-02-05 |
AN IMPROVED CLUSTERING ALGORITHM FOR K-MEANS |
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| Xu Yifeng,Chen Chunming,Xu Yunqing. AN IMPROVED CLUSTERING ALGORITHM FOR K-MEANS[J]. Computer Applications and Software, 2008, 25(3): 275-277 |
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| Authors: | Xu Yifeng Chen Chunming Xu Yunqing |
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| Affiliation: | Xu Yifeng1 Chen Chunming2 Xu Yunqing11(Department of Information , Electronics Engineering,Quzhou College,Quzhou 324000,Zhejiang,China)2(Department of Library,Guilin University of Electronic Technology,Guilin 541004,Guangxi,China) |
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| Abstract: | Considering the shortcomings of k-means algorithm, a new improved algorithm is proposed. A new method for selecting original clustering center based on data distribution is presented. Experimental results demonstrate that the improved algorithm can enhance the clustering performance and the clustering accuracy of k-means. |
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| Keywords: | K-means clustering Clustering center Data distribution |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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