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Algorithm Research & Explore
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3278-3281,3309

Self-adaptive based on grid density clustering algorithm

Zheng Chenga,b
Cao Yanga,b
a. Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education, b. College of Computer Science & Technology, Anhui University, Hefei 230601, China

Abstract

The clustering algorithm based on grid density is difficult to determine the grid width and density threshold. In addition, the accuracy of the results is dissatisfied. Considering the problem above, this paper proposed an improved clustering algorithm. It defined the concept of standardized dispersion of data sets and calculated the better segmentation width of each dimension by the natural distribution information of the data set. According to the different density thresholds, it calculated the number of the noise. It drew the noise curve, and obtained the best density threshold from the noise curve. Moreover, it increased the edge processing technology of cluster, and further improved the quality of clustering. Simulation results show that the improved algorithm can get better clustering results.

Foundation Support

安徽省高校自然科学研究重点项目(KJ2013A020)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.04.0289
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 11
Section: Algorithm Research & Explore
Pages: 3278-3281,3309
Serial Number: 1001-3695(2019)11-017-3278-04

Publish History

[2019-11-05] Printed Article

Cite This Article

郑诚, 曹杨. 参数自适应的网格密度聚类算法 [J]. 计算机应用研究, 2019, 36 (11): 3278-3281,3309. (Zheng Cheng, Cao Yang. Self-adaptive based on grid density clustering algorithm [J]. Application Research of Computers, 2019, 36 (11): 3278-3281,3309. )

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  • Application Research of Computers Monthly Journal
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    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.

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