中国计量学院学报2011，Vol.22Issue(3)：282-285,4.
一种基于GA的聚类集成算法
A clustering ensemble algorithm based on GA
何灵敏 1潘益民1
作者信息
- 1. 中国计量学院信息工程学院,浙江 杭州 310018
- 折叠
摘要
Abstract
A new clustering approach named ECUNGA was proposed based on GA and NMI. GA used to search for a better clustering, which had the lowest degree of difference with law clustering collective. ECUNGA had better performance on search optimal solution compared with traditional methods based on mutual information theory for the using of GA. It is well in the experiments on UCI data sets.关键词
聚类/聚类集成/一致性函数Key words
clustering/ clustering ensembles GA/ consensus function分类
信息技术与安全科学引用本文复制引用
何灵敏,潘益民..一种基于GA的聚类集成算法[J].中国计量学院学报,2011,22(3):282-285,4.
