摘要
针对标准遗传算法用于K-means优化聚类存在的问题,提出了一种基于组合优化方法的K-means聚类算法.实验结果表明:基于组合优化方法的K-means优化聚类算法效率较高,结果较好.
Aiming at the disadvantages of the K - means optimal clustering based on the standard Genetic Algorithm （ GA）, a K - means clustering algorithm based on Combined Optimization Method is presented. The experimental results show that this algorithm is not only highly effective,but also the result is good.
出处
《华北水利水电学院学报》
2007年第5期43-45,共3页
North China Institute of Water Conservancy and Hydroelectric Power
基金
西安市软件科学基金项目(4KR036)
关键词
K—means聚类
遗传算法
复合形法
组合优化
K - means clustering
Genetic Algorithm
composite shape method
combinational optimization
