Algorithm Research & Explore
|
App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 1
116-125

Firefly luminescent information navigation clustering algorithm

Wang Yuefeia
Zeng Shijiea
Yu Xib
Liu Xingruia
Li Yuea
a. College of Computer Science, b. Stirling College, Chengdu University, Chengdu 610106, China
DOI: 10.19734/j.issn.1001-3695.2023.05.0185

Abstract

Clustering is a branch of unsupervised machine learning algorithms that has widespread applications in the information age. However, diverse research on clustering algorithms often faces issues such as it need to specify a fixed number of neighbors for density calculation, the requirement of predefining the number of clusters, and the necessity for multiple iterations to update information aggregation. These problems can lead to the loss of data features and increase computational complexity, resulting in higher time complexity of the models. To address these challenges, this paper inspired by the luminescence and light information transmission of fireflies and proposed a clustering algorithm called FLINCA. FLINCA consisted of two main modules, such as growing fireflies and merging fireflies trees. Firstly, it treated data points as fireflies, and determined their brightness using an adaptive number of neighbors to achieve preliminary clustering. Then, it performed cluster fusion based on the firefly trees, resulting in the final clustering outcome. Experimental results demonstrate that FLINCA exhibits favorable clustering performance on four benchmark clustering datasets and three real-world multidimensional datasets compared to twelve different algorithms. This confirms the extensive applicability of FLINCA, which is based on firefly luminescence and light information transmission, in addressing the limitations of traditional clustering algorithms and improving clustering accuracy.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.05.0185
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 1
Section: Algorithm Research & Explore
Pages: 116-125
Serial Number: 1001-3695(2024)01-018-0116-10

Publish History

[2023-07-17] Accepted Paper
[2024-01-05] Printed Article

Cite This Article

王跃飞, 曾世杰, 于曦, 等. 一种基于荧光信息导航的聚类算法 [J]. 计算机应用研究, 2024, 41 (1): 116-125. (Wang Yuefei, Zeng Shijie, Yu Xi, et al. Firefly luminescent information navigation clustering algorithm [J]. Application Research of Computers, 2024, 41 (1): 116-125. )

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.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)