Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 3
797-801,806

K-means clustering algorithm based on improved quantum rotating gate artificial fish swarm algorithm and its application

Bai Lilia
Song Chuyib
Xu Liyanb
Song Zeruia
Jiang Jingqinga
a. College of Computer Science & Technology, b. College of Mathematics & Physics, Inner Mongolia Minzu University, Tongliao Inner Mongolia 028000, China
DOI: 10.19734/j.issn.1001-3695.2021.08.0354

Abstract

To improve the instability and low accuracy of the clustering results caused by random selection of the initial centroid in traditional K-means clustering algorithm, this paper proposed a K-means clustering algorithm(IQAFSA) based on the improved quantum rotated gate artificial fish swarm algorithm. The IQAFSA improved the accuracy of the updating direction and the updating speed in next generation by dynamic updating the rotation angle of the quantum rotating gate. The mutation strategy changed from traditional Not-gate to H-gate, which not only increased the diversity of the population but also enhanced the global search ability. Finally, the improved algorithm was used to select the initial centroid of K-means for clustering. It was tested on UCI dataset and applied on medical related data sets. Experiment results show that the IQAFSA algorithm is effective, higher accuracy and faster convergence.

Foundation Support

国家自然科学基金资助项目(61662057,6216070371)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.08.0354
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 3
Section: Algorithm Research & Explore
Pages: 797-801,806
Serial Number: 1001-3695(2022)03-026-0797-05

Publish History

[2021-11-29] Accepted Paper
[2022-03-05] Printed Article

Cite This Article

白丽丽, 宋初一, 许丽艳, 等. 基于改进量子旋转门人工鱼群算法的K-means聚类算法及其应用 [J]. 计算机应用研究, 2022, 39 (3): 797-801,806. (Bai Lili, Song Chuyi, Xu Liyan, et al. K-means clustering algorithm based on improved quantum rotating gate artificial fish swarm algorithm and its application [J]. Application Research of Computers, 2022, 39 (3): 797-801,806. )

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  • 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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