KMS Of Academy of mathematics and systems sciences, CAS
| distributedconsensusbasedkmeansalgorithminswitchingmultiagentnetworks | |
Lin Peng; Wang Yinghui; Qi Hongsheng ; Hong Yiguang
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| 2018 | |
| Source Publication | journalofsystemsscienceandcomplexity
 |
| ISSN | 1009-6124 |
| Volume | 031Issue:005Pages:1128 |
| Abstract | This paper discusses a distributed design for clustering based on the K-means algorithm in a switching multi-agent network, for the case when data are decentralized stored and unavailable to all agents. The authors propose a consensus-based algorithm in distributed case, that is, the double- clock consensus-based K-means algorithm （DCKA）. With mild connectivity conditions, the authors show convergence of DCKA to guarantee a distributed solution to the clustering problem, even though the network topology is time-varying. Moreover, the authors provide experimental results on vari- ous clustering datasets to illustrate the effectiveness of the fully distributed algorithm DCKA, whose performance may be better than that of the centralized K-means algorithm. |
| Language | 英语 |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/49945 |
| Collection | 系统科学研究所 |
| Affiliation | 中国科学院数学与系统科学研究院 |
| Recommended Citation GB/T 7714 | Lin Peng,Wang Yinghui,Qi Hongsheng,et al. distributedconsensusbasedkmeansalgorithminswitchingmultiagentnetworks[J]. journalofsystemsscienceandcomplexity,2018,031(005):1128. |
| APA | Lin Peng,Wang Yinghui,Qi Hongsheng,&Hong Yiguang.(2018).distributedconsensusbasedkmeansalgorithminswitchingmultiagentnetworks.journalofsystemsscienceandcomplexity,031(005),1128. |
| MLA | Lin Peng,et al."distributedconsensusbasedkmeansalgorithminswitchingmultiagentnetworks".journalofsystemsscienceandcomplexity 031.005(2018):1128. |
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