Effective community division based on improved spectral clustering | |
Xu, Yi[1]; Zhuang, Zhi[2]; Li, Weimin[3]; Zhou, Xiaokang[4] | |
刊名 | NEUROCOMPUTING
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2018 | |
卷号 | 279页码:54-62 |
关键词 | Spectral clustering Attribute and relationship Community division Particle swarm optimization (PSO) Simulated Annealing (SA) |
ISSN号 | 0925-2312 |
URL标识 | 查看原文 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/2180420 |
专题 | 上海大学 |
作者单位 | 1.[1]Shanghai Univ, Sch Comp Engn & Technol, Shanghai, Peoples R China. 2.[2]Shanghai Univ, Sch Comp Engn & Technol, Shanghai, Peoples R China. 3.[3]Shanghai Univ, Sch Comp Engn & Technol, Shanghai, Peoples R China. 4.[4]Shiga Univ, Fac Data Sci, Hikone, Japan. |
推荐引用方式 GB/T 7714 | Xu, Yi[1],Zhuang, Zhi[2],Li, Weimin[3],et al. Effective community division based on improved spectral clustering[J]. NEUROCOMPUTING,2018,279:54-62. |
APA | Xu, Yi[1],Zhuang, Zhi[2],Li, Weimin[3],&Zhou, Xiaokang[4].(2018).Effective community division based on improved spectral clustering.NEUROCOMPUTING,279,54-62. |
MLA | Xu, Yi[1],et al."Effective community division based on improved spectral clustering".NEUROCOMPUTING 279(2018):54-62. |
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