J4 ›› 2009, Vol. 47 ›› Issue (4): 795-799.

• 计算机科学 • 上一篇    下一篇

一种基于模糊C均值的新分类算法

 刘杰, 刘大有, 金弟   

  1. 吉林大学 计算机科学与技术学院, 长春 130012
  • 收稿日期:2009-01-16 出版日期:2009-07-26 发布日期:2009-08-24
  • 通讯作者: 刘大有 E-mail:dyliu@jlu.edu.cn.

A New Classification Algorithm Based on Fuzzy CMeans

 LIU Jie, LIU Da-Wei, JIN Di   

  1. College of Computer Science and Technology, Jilin University, Changchun 130012, China
  • Received:2009-01-16 Online:2009-07-26 Published:2009-08-24
  • Contact: LIU Da you E-mail:dyliu@jlu.edu.cn.

摘要:

以两种初始化类中心的选择算法为基础, 对传统聚类算法模糊C均值算法进行改进, 提出一种基于模糊C均值的新分类算法NFCM, 解决了数据分类问
题, 并采用UCI上的标准数据集中多个常用数据集进行实验测试, 实验结果表明, 对于UCI上标准数据集的常用数据具有较好的分类结果.

关键词: 分类; 模糊C均值; kNN划分; 新的模糊C均值算法

Abstract:

Two methods for initialization of cluster centers were presented, one is supervised method; the other is the method based on kNN partition. An improved algorithm based on fuzzy Cmeans, a traditional clustering algorithm was finished, which was used to complete the data classification first. And several standard datasets from UCI were tested, which shows a well classification result is found.

Key words: classification, fuzzy Cmeans, kNN partition, NFCM

中图分类号: 

  • TP391.4