摘要
根据人类进行聚类判断所遵循的原则,模拟蚂蚁寻找食物源的行为,该文提出了一种基于蚁群的聚类学习新方法。该方法可以最终获得全局最优解,并且具有本质并行性、计算效率高、聚类学习能力强等优点。
In this paper a new kind of clustering method based on ant colony algorithm is presented according to the principle that how human do clustering and the action that how ants look for food.People can obtain global optimal solution using this method.The method has the advantages of high parallel,high effective of computing and good clustering ability.
出处
《计算机工程与应用》
CSCD
北大核心
2003年第15期60-62,共3页
Computer Engineering and Applications
基金
上海市自然科学基金项目(编号:01ZD14014)
关键词
聚类分析
蚁群算法
聚类中心
Clustering Analysis,Ant Colony,Cluster Center
