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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 11
3347-3352

DBSCAN parameter setting based on higher-order difference and grid partition algorithm

Lan Hong
Zhu Helong
School of Information Engineering, Jiangxi University of Science & Technology, Ganzhou Jiangxi 341000, China
DOI: 10.19734/j.issn.1001-3695.2019.06.0257

Abstract

In DBSCAN algorithm two parameters, eps and minPts, their values usually depend on experiences. This paper proposed a fast DBSCAN automatic parameter selection algorithm based on high order difference and grid partition(HDOGDBSCAN algorithm) to find a new way to automatically set the two parameters. Firstly, this paper analyzed the relationship between data points and parameters in each dataset, and used the high-order difference algorithm to get the two parameters. Secondly, in order to improve efficiency of the algorithm, it introduced the grid division, and optimized the algorithm through establishing the grid index of dataset. Thirdly, aiming at some data sets with too many noise points, this paper proposed eliminate extremes operation to enhance the robustness of the algorithm. It applied the HDOG-DBSCAN algorithm to flame and other nine datasets. Comparing with the parameters that selected by the traditional DBSCAN algorithm and the AGD-DBSCAN algorithm, this paper compared and analyzed the clustering effects and the running efficiency of the algorithm. The results show that HDOG-DBSCAN algorithm is an effective DBSCAN parameter automatic selection method. What's more, the grid division significantly improves the performance of the high-order difference algorithm, and the eliminate extremes operation is necessary and effective.

Foundation Support

国家自然科学基金资助项目(61762046)
江西省自然科学基金资助项目(20161BAB212048)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.06.0257
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 11
Section: Algorithm Research & Explore
Pages: 3347-3352
Serial Number: 1001-3695(2020)11-030-3347-06

Publish History

[2020-11-05] Printed Article

Cite This Article

兰红, 朱合隆. 基于高阶差分和网格划分算法的DBSCAN参数自动选取算法 [J]. 计算机应用研究, 2020, 37 (11): 3347-3352. (Lan Hong, Zhu Helong. DBSCAN parameter setting based on higher-order difference and grid partition algorithm [J]. Application Research of Computers, 2020, 37 (11): 3347-3352. )

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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