Algorithm Research & Explore
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3592-3597

Label propagation clustering algorithm based on improved pairwise constraint expansion

Wu Yinghao
Liu Hong
Zhang Qishan
College of Economics & Management, Fuzhou University, Fuzhou 350000, China

Abstract

To address the problem that the performance of semi-supervised clustering algorithms is limited by the number of pairwise constraints, most of the existing research relies on the number of original pairwise constraints, this paper firstly proposed the PCIG. The algorithm calculated the similarity between data objects by degree of balance and approach, and determined the confidence interval based on the value of similarity, then expanded the pairwise relationships between data objects by drawing on the initialization method of network structure. Finally, it was applied to the label propagation clustering algorithm. Through the experiments on 5 benchmark datasets, the label propagation clustering algorithm based on improved pairwise constraint expansion has improved NMI and ARI values compared with other methods. Experimental results show that improving pairwise constraint expansion can effectively improve the clustering effect of label propagation algorithm.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.05.0244
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 12
Section: Algorithm Research & Explore
Pages: 3592-3597
Serial Number: 1001-3695(2022)12-010-3592-06

Publish History

[2022-08-03] Accepted Paper
[2022-12-05] Printed Article

Cite This Article

吴颖豪, 刘虹, 张岐山. 基于改进成对约束扩充的标签传播聚类算法 [J]. 计算机应用研究, 2022, 39 (12): 3592-3597. (Wu Yinghao, Liu Hong, Zhang Qishan. Label propagation clustering algorithm based on improved pairwise constraint expansion [J]. Application Research of Computers, 2022, 39 (12): 3592-3597. )

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.

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