Algorithm Research & Explore
|
App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 1
163-166,171

Spark-based parallel density peak clustering algorithm

Sun Weipeng1
Wu Xisheng1
Meng Bin2
1. School of IoT Engineering, Jiangnan University, Wuxi Jiangsu 214122, China
2. Software Engineering Center, China Ship Scientific Research Center, Wuxi Jiangsu 214082, China
DOI: 10.19734/j.issn.1001-3695.2018.04.0377

Abstract

In view of the problem that the overall time complexity of the FSDP clustering algorithm was high because the algorithm needed to traverse the entire data set when calculating the local density and minimum distance of data objects, this paper presented a Spark-based parallel FSDP clustering algorithm called SFSDP. First, the algorithm divided the dataset into multiple data partitions with relatively equal size by spatial meshing. Then, it used the improved FSDP clustering algorithm to perform the clustering analysis on the data in each partition parallelly. It generated the global clusters by grouping together local clusters between partitions. Experimental results show that SFSDP algorithm can effectively perform large-scale dataset clustering analysis compared with FSDP algorithm, and the algorithm has a good performance in terms of accuracy and scalability.

Foundation Support

国家自然科学基金资助项目(61672265)
七〇二所青年创新基金资助项目(J775)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.04.0377
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 1
Section: Algorithm Research & Explore
Pages: 163-166,171
Serial Number: 1001-3695(2020)01-034-0163-04

Publish History

[2020-01-05] Printed Article

Cite This Article

孙伟鹏, 吴锡生, 孟斌. 基于Spark并行的密度峰值聚类算法 [J]. 计算机应用研究, 2020, 37 (1): 163-166,171. (Sun Weipeng, Wu Xisheng, Meng Bin. Spark-based parallel density peak clustering algorithm [J]. Application Research of Computers, 2020, 37 (1): 163-166,171. )

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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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