| 基于遗传算法的模糊聚类方法 |
| |
| 引用本文： | 许松荣.基于遗传算法的模糊聚类方法[J].华中科技大学学报(自然科学版),2004(Z1). |
| |
| 作者姓名： | 许松荣 |
| |
| 作者单位： | 厦门大学计算机与信息工程学院 福建厦门 |
| |
| 摘 要： | 针对模糊c 均值算法容易收敛于局部极小点的缺陷 ,将遗传算法应用于模糊c 均值算法的优化计算中 .算法采用实数编码 ,提高了试验精度 .实验证明基于遗传算法的模糊聚类方法能够在一定程度上克服初值的影响 ,跳出局部极小点 ,在大样本的聚类方面有较大的优势 .
|
| 关 键 词： | 聚类 模糊c均值算法 遗传算法 |
The fuzzy clustering method based on genetic arithmetic |
| |
| Xu Songrong Postgraduate, Computer & Information Engineering College,Xiamen University. Fujian,Xiamen ,China..The fuzzy clustering method based on genetic arithmetic[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2004(Z1). |
| |
| Authors: | Xu Songrong Postgraduate Computer & Information Engineering College Xiamen University Fujian Xiamen China |
| |
| Affiliation: | Xu Songrong Postgraduate, Computer & Information Engineering College,Xiamen University. Fujian,Xiamen 361005,China. |
| |
| Abstract: | This paper applies genetic arithmetic to optimization of the fuzzy c- mean arithmetic since the fuzzy c- mean arithmetic has the limitation of converging to the local infinitesimal point. The arithmetic adopts the real code and thus increases the precision of the experiments. The experiments prove that the fuzzy c- means arithmetic based on genetic arithmetic can overcome the influence of initial values and possess the predominance in the clustering of huge samples. |
| |
| Keywords: | clustering fuzzy c- mean arithmetic genetic arithmetic |
| 本文献已被 CNKI 维普 等数据库收录！ |
