Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 2
434-436,497

Parallel implementation of improved K-means algorithm based on Spark

Du Jiaying
Duan Longzhen
Duan Wenying
Bu Qiujin
College of Information Engineering, Nanchang University, Nanchang 330031, China
DOI: 10.19734/j.issn.1001-3695.2018.07.0526

Abstract

Aiming at the deficiency of K-means clustering algorithm, this paper proposed an improved algorithm with the use of simplified silhouette coefficient as the evaluation criterion to measure the k value in K-means to boost the algorithm performance. It used the K-means++ algorithm to choose the initial center points in the K-means algorithm. After setting the k value and the initial center point, it used morphology similarity distance as the similarity measurement standard to assign the data points to the cluster formed by the closest center point. And finally it calculated the average silhouette coefficient to determine the appropriate k value. It implemented the improved algorithm on Spark. Experiments on accuracy, run-time and speedup of four standard datasets show that the improved K-means algorithm can not only improve the quality of clustering division that compared with the traditional K-means algorithm and SKDK-means algorithm, but also shortens the calculation time, showing good parallel performance in a multi-node cluster environment. The experimental results suggest that the improved algorithm can effectively improve the algorithm execution efficiency and parallel computing ability.

Foundation Support

国家自然科学基金资助项目(61070139,81460769)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.07.0526
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 2
Section: Algorithm Research & Explore
Pages: 434-436,497
Serial Number: 1001-3695(2020)02-024-0434-03

Publish History

[2020-02-05] Printed Article

Cite This Article

杜佳颖, 段隆振, 段文影, 等. 基于Spark的改进K-means算法的并行实现 [J]. 计算机应用研究, 2020, 37 (2): 434-436,497. (Du Jiaying, Duan Longzhen, Duan Wenying, et al. Parallel implementation of improved K-means algorithm based on Spark [J]. Application Research of Computers, 2020, 37 (2): 434-436,497. )

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  • 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.

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