| MAX-t1范数聚类算法的改进 |
| |
| 引用本文： | 闫德勤 迟忠先. MAX-t1范数聚类算法的改进[J]. 计算机科学, 2004, 31(6): 177-179 |
| |
| 作者姓名： | 闫德勤 迟忠先 |
| |
| 作者单位： | 辽宁师范大学计算机系,大连,116029;大连理工大学计算机系,大连,116024 |
| |
| 基金项目： | 辽宁师范大学校基金资助. |
| |
| 摘 要： | 给出了关于传递闭包模糊聚类算法与在t1范数下利用模糊矩阵聚类方法的一些理论结果，同时解决了在t1范数下利用模糊矩阵聚类的方法中难于确定等价类的问题，从而给出了一种基于t1范数的聚类算法与应用结果。最后给出了基于max—t1范数与max—t3范数下利用模糊矩阵聚类方法间关系的讨论。
|
| 关 键 词： | 模糊聚类 t1范数 聚类算法 模糊矩阵 |
An Improvement Clustering Algorithms Based on Max-t1 Norm |
| |
| YAN De-Qin CHI Zhong-Xian. An Improvement Clustering Algorithms Based on Max-t1 Norm[J]. Computer Science, 2004, 31(6): 177-179 |
| |
| Authors: | YAN De-Qin CHI Zhong-Xian |
| |
| Affiliation: | YAN De-Qin~1 CHI Zhong-Xian~2 |
| |
| Abstract: | A comparative study between transitive closure fuzzy clustering algorithm and the fuzzy clustering algorithm based on t_1-norm with fuzzy matrix are presented. The study shows that for describing the fuzzy relation of two elements max-t_1 fuzzy transitive relation is more critical than that of max-min fuzzy transitive relation. That is the reason why t_1-norm dose not has max-t transitivity. Besides, in this paper a new algorithm to determine equivalent classes is given. With the new algorithm the fuzzy clustering algorithm based on t_1-norm with fuzzy matrix is more reasonable. Experiments show the effectiveness of the new algorithm. |
| |
| Keywords: | Fuzzy clustering Max-t_1 norm Clustering algorithm Fuzzy matrix |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
点击此处可从《计算机科学》下载全文 |
