计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (27): 168-170.

• 数据库与信息处理 • 上一篇    下一篇

基于人工免疫可更新簇聚类算法的研究

范志宏,苏一丹   

  1. 广西大学 计算机与电子信息学院,南宁 530004
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-09-21 发布日期:2007-09-21
  • 通讯作者: 范志宏

Research of updated cluster algorithm based on artificial immune

FAN Zhi-hong,SU Yi-dan   

  1. School of Computer,Electronics and Information,Guangxi University,Nanning 530004,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-09-21 Published:2007-09-21
  • Contact: FAN Zhi-hong

摘要: 给出了一种基于人工免疫的可更新簇聚类算法。该算法在aiNet聚类算法的基础上,引入记忆抗体“年龄”的概念。模型学习过程中在抗体不断地与抗原接触时,超过“年龄”阈值的记忆抗体转化为一般抗体,以此达到聚类簇的更新。实验表明该算法是可行、有效的。

关键词: 人工免疫, aiNet模型, 记忆抗体, 记忆抗体“年龄”

Abstract: In this paper,an updated cluster algorithm based on artificial immune is proposed.This algorithm is proposed based on the algorithm of aiNet cluster,and a new conception of“age” of the memory antibody is introduced.During the learning process,when the “age” of memory antibody exceeds the threshold of the memory antibody,the memory antibody will change into common antibody.It’s very feasible and effective through experiment.

Key words: artificial immune, aiNet model, memory antibody, “age” of memory antibody