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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 5
1387-1392

Research on semi-supervised K-medoids algorithm based on hierarchical strategy

Li Le1
Wang Fei2
1. School of Computer & Network Security, Inner Mongolia Electronic Information Vocational Technical College, Hohhot 010000, China
2. E-government Services Centre, Inner Mongolia People's Congress, Hohhot 010000, China
DOI: 10.19734/j.issn.1001-3695.2020.05.0122

Abstract

Aiming at the common problems of existing semi-supervised clustering algorithms based on K-means, such as sensitivity to outliers, poor performance in non-convex data sets and unbalanced data sets, this paper proposed a hierarchical strategy based semi-supervised clustering algorithm for seed dispersal. Firstly, it divided the dataset into the core layer and the border layer by strategy based on the border factor of the influence space. Then, it used the improved K-medoids algorithm to complete the core layer clustering. Finally, it used a progressive semi-supervised distribution strategy to allocate the border layer and obtained the final clustering results. The algorithm solved the outlier interference problem, semi-supervised sub-cluster clustering and merge strategy, and achieved effective clustering on different distributed datasets. Comparing experimental results on artificial datasets and real datasets show that the algorithm can solve the existing problems and has better clustering performance and robustness.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.05.0122
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 5
Section: Algorithm Research & Explore
Pages: 1387-1392
Serial Number: 1001-3695(2021)05-019-1387-06

Publish History

[2021-05-05] Printed Article

Cite This Article

李乐, 王斐. 基于层次策略的半监督K-medoids算法研究 [J]. 计算机应用研究, 2021, 38 (5): 1387-1392. (Li Le, Wang Fei. Research on semi-supervised K-medoids algorithm based on hierarchical strategy [J]. Application Research of Computers, 2021, 38 (5): 1387-1392. )

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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