.png){kind=icon}
返回
A traffic-based evolutionary algorithm for network clustering
.png){kind=icon}
OA
AI
DOI：10.1016/j.asoc.2013.06.022.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Network clustering algorithms are typically based only on the topology information of the network. In this paper, we introduce traffic as a quantity representing the intensity of the relationship among nodes in the network, regardless of their connectivity, and propose an evolutionary clustering algorithm, based on the application of genetic operators and capable of exploiting the traffic information. In a comparative evaluation based on synthetic instances and two real world datasets, we show that our approach outperforms a selection of well established evolutionary and non-evolutionary clustering algorithms. (C) 2013 Elsevier B.V. All rights reserved.
Keyword:
Clustering
Traffic matrices
Genetic algorithms
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:
6.6
论文数:
1.4W
被引数:
4.8W
机构
引用论文
分享收藏Effect of Calcium and Phosphorus Nutrition on Genetic Recombination in the Soybean.png)
Crop Science
Crop ScienceIF0
PREAI
分享收藏An evolutionary clustering algorithm for gene expression microarray data analysis一种用于基因表达微阵列数据分析的进化聚类算法
OAAI
OAAI分享收藏分享收藏The tumour suppressor protein VHL targets hypoxia-inducible factors for oxygen-dependent proteolysisNature
NatureIF0
PREAI
分享收藏
查看更多内容