Data clustering using hybrid water cycle algorithm and a local pattern search method

Advances in Engineering Software(2021)

引用 17|浏览1
暂无评分
摘要
•Hybrid water cycle with evaporation rate and Hookes-Jeeves algorithms.•The application of proposed hybrid method for data clustering problems.•The proposed method outperforms other clustering methods reported in literature.•Performance is based on solution quality and/or number of function evaluations.
更多
查看译文
关键词
Clustering,Optimization,Water cycle algorithm,Hookes and Jeeves,Euclidean distance,DB index
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要