摘要
聚类分析方法的困难在于聚类模型的类中心和类别数的确定。首先给出了最近邻聚类规则,并根据该规则建立了确定聚类模型的分类方法;其次针对不同的聚类模型提出了优化判别准则———AIC准则,为解决所聚类的紧凑性与类别数增加的矛盾给出了理论分析。通过实例仿真,验证了本方法的实用性和正确性。
The difficulty of cluster analysis lies in determining sort centers and sort numbers for a clustering model. The nearest neighbor clustering rule is given first and the sorting method based on this rule is set up. Then AIC criterion is proposed for different models. At last, a theoretical analysis is made for solving the contradiction between compactness of clustering and increased sort numbers. By means of an instance simulation, this method is proved to be correct and valuable in applications.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2005年第2期257-259,共3页
Systems Engineering and Electronics
基金
国家十五重点攻关项目国家海洋技术发展项目基金资助课题(DY105-03-02)
关键词
聚类分析
AIC准则
最近邻聚类算法
cluster analysis
AIC criterion
the nearest neighbor clustering algorithm
