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Algorithm Research & Explore
|
2315-2320

Multiview consistency sparse clustering for graph

Liu Yutong
Teng Shaohua
Zhang Wei
School of Computers, Guangdong University of Technology, Guangzhou 510006, China

Abstract

This paper proposed a new graph-oriented consistent multi-view sparse clustering framework. This method firstly decomposed multi-view data into consistency and inconsistency parts, used similarity measurement method and KNN(K-nearest neighbor) algorithm to decompose and fuse multi-view data, and then used sparse representation to learn the consistent simila-rity matrix of multi-view graphs. Finally, it obtained the clustering results through spectral clustering. In addition, this paper designed and implemented an alternate iterative optimization algorithm to solve the objective function. It verifies the effectiveness of the method through comparative experiments on eight multi-view datasets.

Foundation Support

国家自然科学基金资助项目(61972102)
广东省重点领域研发计划资助项目(2020B010166006)
广东省教育厅资助项目(粤教高函〔2018〕179号,粤教高函〔2018〕1号)
广州市科技计划资助项目(201903010107,201802030011,201802010026,201802010042,201604046017)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.12.0541
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 8
Section: Algorithm Research & Explore
Pages: 2315-2320
Serial Number: 1001-3695(2021)08-012-2315-06

Publish History

[2021-08-05] Printed Article

Cite This Article

刘瑜童, 滕少华, 张巍. 图的多视角一致性稀疏聚类 [J]. 计算机应用研究, 2021, 38 (8): 2315-2320. (Liu Yutong, Teng Shaohua, Zhang Wei. Multiview consistency sparse clustering for graph [J]. Application Research of Computers, 2021, 38 (8): 2315-2320. )

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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