| 对增量式模糊聚类算法的改进 |
| |
| 引用本文： | 孙胜,曹绍君.对增量式模糊聚类算法的改进[J].黄石理工学院学报,2006,22(4):37-39. |
| |
| 作者姓名： | 孙胜 曹绍君 |
| |
| 作者单位： | 黄石理工学院计算机学院,湖北,黄石,435003 |
| |
| 摘 要： | 提出了一种增量式模糊聚类技术的改进算法，该算法仅对新增数据计算相似系数而直接聚类，其结果和动态聚类算法相同；该算法较好地解决了新增数据的聚类及类属问题，提高了模糊聚类算法的收敛速度，实验结果证实改进了算法的高可靠性。
|
| 关 键 词： | 模糊聚类 增量式算法 模糊C-均值算法 |
| 文章编号： | 1008-8245(2006)04-0037-03 |
| 收稿时间： | 2006-03-10 |
| 修稿时间： | 2006年3月10日 |
An Improved Increasable Fuzzy Clustering Algorithm |
| |
| Sun Sheng,Cao Shaojun.An Improved Increasable Fuzzy Clustering Algorithm[J].Journal of Huangshi Institute of Technology,2006,22(4):37-39. |
| |
| Authors: | Sun Sheng Cao Shaojun |
| |
| Institution: | School of Computer Science and Technology, Huangshi Institute of Technology, Huangshi Hubei 435003 |
| |
| Abstract: | The article puts forward an improved increasable fuzzy clustering algorithm. The algorithm only calculates similar coefficient of increased data. Its result is the same as dynamic clustering algorithm. The clustering and the class attribute problem of the new data are reasonably solved with the improved algorithm, and the convergence speed of fuzzy clustering algorithm is improved. The result of the experiment presented in the paper illustrates that the improved algorithm is reliable. |
| |
| Keywords: | fuzzy clustering increasable algorithm fuzzy c-means clustering algorithm(FCM) |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
