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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 4
1019-1023,1059

Multi-view maximum entropy clustering algorithm with center distance maximization

Ding Jianyu
Qi Yunsong
Zhao Chengxiang
College of Computer, Jiangsu University of Science & Technology, Zhenjiang Jiangsu 212100, China
DOI: 10.19734/j.issn.1001-3695.2021.09.0399

Abstract

In the face of sparse data, high data dimensions and multi view clustering tasks, the traditional maximum entropy clustering algorithm will cause clustering failure because the class center tends to be consistent. In order to solve this problem, based on the traditional maximum entropy clustering algorithm, this paper introduced the class center punishment mechanism, integrated the weight matrix to achieve multi perspective division and integration, and constructed a multi view maximum entropy clustering algorithm with class center maximum. The algorithm reflected the importance of a certain perspective by adjusting the weight on each perspective, and solved the problem that the class center on each perspective tends to be consistent due to the scarcity of data and high data dimension in the multi perspective clustering task. Through a large number of experiments, it further proves that the clustering effect of this algorithm is significantly better than the traditional clustering algorithm when dealing with high-dimensional, sparse data, interference data participating and multi view data sets.

Foundation Support

中国高校产学研创新基金资助项目(2019ITA01047)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.09.0399
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 4
Section: Algorithm Research & Explore
Pages: 1019-1023,1059
Serial Number: 1001-3695(2022)04-010-1019-05

Publish History

[2021-12-09] Accepted Paper
[2022-04-05] Printed Article

Cite This Article

丁健宇, 祁云嵩, 赵呈祥. 类中心极大的多视角极大熵聚类算法 [J]. 计算机应用研究, 2022, 39 (4): 1019-1023,1059. (Ding Jianyu, Qi Yunsong, Zhao Chengxiang. Multi-view maximum entropy clustering algorithm with center distance maximization [J]. Application Research of Computers, 2022, 39 (4): 1019-1023,1059. )

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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