| 基于模糊C-均值的增量式聚类算法 |
| |
| 引用本文： | 王洪春,彭宏. 基于模糊C-均值的增量式聚类算法[J]. 微电子学与计算机, 2007, 24(6): 156-157,161 |
| |
| 作者姓名： | 王洪春 彭宏 |
| |
| 作者单位： | 1. 华南理工大学,计算机科学与工程学院,广东,广州,510641;重庆师范大学,数学与计算机科学学院,重庆,400047
2. 华南理工大学,计算机科学与工程学院,广东,广州,510641 |
| |
| 摘 要： | 给出了一种新的基于FCM的聚类算法，能根据由数据的分布的特性自动获取要聚类的数日，在新增数据后,可以进行增量式聚类，结果对孤立点不敏感，并能完成FCM不具备的非球型或椭球型分布的数据集的聚类，实验结果显示算法的有效性和优越性。
|
| 关 键 词： | 数据挖掘 模糊C-均值算法 增量式聚类算法 |
| 文章编号： | 1000-7180（2007）06-0156-02 |
| 修稿时间： | 2006-07-24 |
Incremental Clustering Algorithm Based on FCM |
| |
| WANG Hong-chun,PENG Hong. Incremental Clustering Algorithm Based on FCM[J]. Microelectronics & Computer, 2007, 24(6): 156-157,161 |
| |
| Authors: | WANG Hong-chun PENG Hong |
| |
| Affiliation: | 1 Dept. of Computer and Engeering, South China University of Technology, Guangzhou 510641, China; 2 Dept. of Mathematics and Computer Science, Chongqing Normal University, Chongqing 400047, China |
| |
| Abstract: | A new clustering algorithm based on FCM is presented. It can obtain the number automatically according to the distribution characteristic of data set, and it can realize incremental clustering, the result is not sensitive to outlier, it can accomplish clustering of not spherical or elliptical data set that the FCM don't possess. Experimental results show the new algorithm is effective and advantageous. |
| |
| Keywords: | data mining fuzzy c-means algorithm incremental clustering algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
