• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2008, Vol. 30 ›› Issue (5): 75-77.

• 论文 • 上一篇    下一篇

模糊聚类的分析

王纬 王妍 黄山   

  • 出版日期:2008-05-01 发布日期:2010-05-19

  • Online:2008-05-01 Published:2010-05-19

摘要:

本文提出基于客户价值的客户分类方法,将加权模糊c均值算法应用于客户分类,并用基于相似系数和检测孤立点的方法排除孤立点对聚类结果的干扰,提高聚类质量。

关键词: 模糊聚类 检测 权值

Abstract:

The paper proposes a customer-value-based customer classification method, applies the weighted fuzzy c average value algorithm to a customer classification, and uses a similarity-coefficient-based isolated-point-detection method to exclude the interference of the isolated points on the clustering resu lts, and thus increases the clustering quality.

Key words: fuzzy clustering, detection, power value