| 基于K-Means的文本层次聚类算法研究 |
| |
| 引用本文： | 尉景辉,何丕廉,孙越恒.基于K-Means的文本层次聚类算法研究[J].计算机应用,2005,25(10):2323-2324. |
| |
| 作者姓名： | 尉景辉 何丕廉 孙越恒 |
| |
| 作者单位： | 天津大学,电子信息工程学院,天津,300072;天津大学,电子信息工程学院,天津,300072;天津大学,电子信息工程学院,天津,300072 |
| |
| 摘 要： | 提出了一种基于K-Means的文本层次聚类算法。它结合凝聚层次聚类和K Means算法的特点，减少凝聚层次法在凝聚过程中的错误，提高了聚类质量。实验结果表明，该算法的聚类质量优于层次聚类法。
|
| 关 键 词： | 文本聚类 向量空间模型 K-Means算法 层次聚类 |
| 文章编号： | 1001-9081（2005）10-2323-02 |
| 收稿时间： | 2005-04-19 |
| 修稿时间： | 2005-04-192005-06-26 |
Research on text hierarchical clustering algorithm based on K-Means |
| |
| YU Jing-hui,HE Pi-lian,SUN Yue-heng.Research on text hierarchical clustering algorithm based on K-Means[J].journal of Computer Applications,2005,25(10):2323-2324. |
| |
| Authors: | YU Jing-hui HE Pi-lian SUN Yue-heng |
| |
| Affiliation: | School of Electronic Information Engineering,Tianjin University,Tianjin 300072,China |
| |
| Abstract: | A new text hierarchical clustering algorithm based on K-Means was presented, which combined features from both K-Means and agglomerative approach that allowed them to reduce the early-stage errors made by agglomerative method and hence improved the quality of clustering solutions. The experimental evaluation shows that, our algorithm leads to better solutions than agglomerative methods. |
| |
| Keywords: | text clustering vector space model K-Means hierarchical clustering |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《计算机应用》浏览原始摘要信息 |
|
点击此处可从《计算机应用》下载全文 |
