.png){kind=icon}
返回
Clustering data using a modified integer genetic algorithm (IGA)
.png){kind=icon}
PRE
AI
DOI：10.1016/S0003-2670(97)00462-5.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper developed a modified genetic algorithm with integer representation (IGA) for cluster analysis problem. The IGA method expands the basic concepts of conventional GAs to include fitness scaling, a modified selection operator, and three newly proposed genetic operators, i.e., competition, self-reproduction and diversification. Moreover, a new clustering criterion was introduced and compared with the commonly used square-error criterion. Clustering of simulated and real chemical data showed that IGA consistently outperformed conventional GAs both in search efficiency and in search precision, and the introduced criterion provided better performance than the square-error criterion. (C) 1997 Elsevier Science B.V.
Keyword:
cluster analysis
integer genetic algorithm (IGA)
clustering criteria
genetic algorithm (GA)
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6
论文数:
3.3W
被引数:
6.1W
机构
暂无机构信息
引用论文
Simulations of Re-Entry Vehicles by Using DSMC with Chemical-Reaction Module利用带有化学反应模块的直接蒙特卡罗模拟方法对再入飞行器进行模拟
OAAI
OAAI分享收藏Newer generations of multi-target CAR and STAb-T immunotherapeutics: NEXT CART Consortium as a cooperative effort to overcome current limitations新一代多靶点CAR和STAb-T免疫治疗药物：NEXT CART Consortium作为克服当前局限性的合作努力.png)
IF0
PREAI
分享收藏Chemotropic guidance facilitates axonal regeneration and synapse formation after spinal cord injury趋化性引导促进脊髓损伤后轴突再生和突触形成
OAAI
OAAI分享收藏
查看更多内容