Algorithm Research & Explore
|
3293-3299

Density-based clustering algorithm based on groups and improve gravitational search

Hu Chun'an
Wang Jiaxin
Mao Yimin
School of Information Engineering, Jiangxi University of Science & Technology, Ganzhou Jiangxi 341000, China

Abstract

Aiming at the problems of indigent scalability, poor parameter optimization ability and low efficiency of parallelization in big data density-based clustering algorithm, this paper developed a density-based clustering algorithm MR-GDBIGS based on groups and improved gravitational search. Firstly, it proposed a GSP to divide data and speed up neighborhood search. Secondly, the algorithm designed an IGSA which used the PUF. In addition, it could dynamically select the optimal parameters of local clustering based on IGSA algorithm, which could improve the clustering effect of local clustering. Finally, based on cover-tree and MapReduce, this paper developed a MR-CTMC to get the result of clustering algorithm more quickly, which improved the core clusters merging efficiency of density-based clustering algorithm. The experimental results show that the MR-GDBIGS algorithm has better clustering results and performs better parallelization in big data.

Foundation Support

国家重点研发计划资助项目(2018YFC1504705)
国家自然科学基金资助项目(41562019,61762046)
江西省教育厅科技项目(GJJ209407)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.05.0148
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 11
Section: Algorithm Research & Explore
Pages: 3293-3299
Serial Number: 1001-3695(2021)11-016-3293-07

Publish History

[2021-11-05] Printed Article

Cite This Article

胡春安, 王家欣, 毛伊敏. 基于分组和IGSA的并行密度聚类算法 [J]. 计算机应用研究, 2021, 38 (11): 3293-3299. (Hu Chun'an, Wang Jiaxin, Mao Yimin. Density-based clustering algorithm based on groups and improve gravitational search [J]. Application Research of Computers, 2021, 38 (11): 3293-3299. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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