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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 11
3240-3244

Novel K-means clustering algorithm based on improved gravitational search algorithm

Wei Kangyuana,b
He Qinga,b
Xu Qinshuaia,b
a. College of Big Data & Information Engineering, b. Guizhou Provincial Key Laboratory of Public Big Data, Guizhou University, Guiyang 550025, China
DOI: 10.19734/j.issn.1001-3695.2018.06.0310

Abstract

In order to solve the problem that the clustering result of K-means algorithm gets affected by the initial cluster centers easily, this paper proposed a novel K-means clustering algorithm based on improved gravitational search algorithm. Firstly, it enhanced the global exploration and local exploitation capability of the algorithm with the introduction of adaptive concept to control the attenuation factor of gravitational constant. Then, it introduced immune clonal selection algorithm to make the algorithm jump out of the local optimum efficiently. The experimental results on twelve test functions prove the effectiveness and superiority of the improved GSA. Finally, by combining the improved GSA with K-means algorithm, this paper proposed a new clustering algorithm called A2F-GSA-Kmeans. The experimental results on six test datasets show that the algorithm has better clustering quality.

Foundation Support

贵州省公共大数据重点实验室开放课题(2017BDKFJJ004)
贵州省教育厅青年科技人才成长项目(黔科合KY字［2016］124)
贵州大学培育项目(黔科合平台人才［2017］5788)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.06.0310
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 11
Section: Algorithm Research & Explore
Pages: 3240-3244
Serial Number: 1001-3695(2019)11-008-3240-05

Publish History

[2019-11-05] Printed Article

Cite This Article

魏康园, 何庆, 徐钦帅. 基于改进引力搜索算法的K-means聚类 [J]. 计算机应用研究, 2019, 36 (11): 3240-3244. (Wei Kangyuan, He Qing, Xu Qinshuai. Novel K-means clustering algorithm based on improved gravitational search algorithm [J]. Application Research of Computers, 2019, 36 (11): 3240-3244. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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