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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 7
1948-1950,1983

Spectral clustering based on density peak value optimization

Xue Lixia
Sun Wei
Wang Ronggui
Yang Juan
Hu Min
School of Computer Science & Information Engineering, Hefei University of Technology, Hefei 230009, China
DOI: 10.19734/j.issn.1001-3695.2018.01.0019

Abstract

To deal with the problem that classical spectral clustering algorithms are unable to determine the number of clusters automatically, and low efficiency in processing large amount of data with, this paper proposed a spectral clustering algorithm based on the optimization of density peak value. The method firstly calculated the local density of data object and the minimum distance between each data object and other data objects. It generated adaptive clustering algorithm to determine the number of clusters and to optimize the number of clusters according to certain rules. Secondly, adopting Nystrm sampling could reduce the time complexity of characteristic decomposition and improved the efficiency of the algorithm. The experimental results show that this method can accurately obtain the number of clusters and effectively improve the accuracy and efficiency of clustering effectively.

Foundation Support

国家自然科学基金资助项目(61672202)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.01.0019
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 7
Section: Algorithm Research & Explore
Pages: 1948-1950,1983
Serial Number: 1001-3695(2019)07-006-1948-03

Publish History

[2019-07-05] Printed Article

Cite This Article

薛丽霞, 孙伟, 汪荣贵, 等. 基于密度峰值优化的谱聚类算法 [J]. 计算机应用研究, 2019, 36 (7): 1948-1950,1983. (Xue Lixia, Sun Wei, Wang Ronggui, et al. Spectral clustering based on density peak value optimization [J]. Application Research of Computers, 2019, 36 (7): 1948-1950,1983. )

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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