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Algorithm Research & Explore
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3586-3589

Big data mining based on around-centroid clustering algorithm

Tian Hua
He Yi
School of Data Science, Tongren University, Tongren Guizhou 554300, China

Abstract

Aiming at the problem of extensibility of big data analysis on massively parallel distributed systems and software platforms, this paper proposed a big data mining technique based on parameter-free CLUBS algorithm around centroids. The technique worked in a completely unsupervised manner, splitting clusters based on minimum quadratic distance criteria to sepa-rate data from noise, identified blocks containing only outliers by intermediate refinement and generated complete clusters for the remaining blocks, it designed a parallelized version of CLUBS to enable fast and efficient clustering of big data. Experiments show that the CLUBS parallel algorithm is not affected by data dimension and noise, and is better than the existing algorithms in terms of scalability and execution time.

Foundation Support

贵州省教育厅创新群体重大研究项目(黔教合KY字[2016]051)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.09.0540
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 12
Section: Algorithm Research & Explore
Pages: 3586-3589
Serial Number: 1001-3695(2020)12-013-3586-04

Publish History

[2020-12-05] Printed Article

Cite This Article

田华, 何翼. 基于绕质心聚类算法的大数据挖掘 [J]. 计算机应用研究, 2020, 37 (12): 3586-3589. (Tian Hua, He Yi. Big data mining based on around-centroid clustering algorithm [J]. Application Research of Computers, 2020, 37 (12): 3586-3589. )

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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