App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 8

Matrix factorization and dual-neighbor spherical interpolation driven data augmentation

Wen Liuying
Zhang Yao
Min Fan
School of Computer Science and Software Engineering, Southwest Petroleum University, Chengdu Sichuan 610500, China
DOI: 10.19734/j.issn.1001-3695.2025.12.0516

Abstract

Microbial data exhibit inter-class imbalance and high sparsity. Existing resampling algorithms and generative models often suffer from high-dimensional interference and tend to generate samples that deviate from the original distribution. To address these issues, this paper proposes a data augmentation method based on matrix factorization and dual-neighbor spherical interpolation (MFSI) . The method combined three key steps. First, matrix factorization obtained latent low-dimensional representations. This reduced high-dimensional noise and revealed potential associations between samples and features. Second, a dual-neighbor spherical interpolation strategy generated minority samples on the unit sphere. This produced structurally consistent samples in the latent space. Third, an adaptive local-density filtering mechanism selected high-quality samples with reasonable distribution. Experimental results show that MFSI achieves significant improvements in Recall, G-mean, and AUC metrics over other algorithms on ten datasets. The results indicate that the method has superior classification performance for imbalanced disease-diagnosis tasks.

Foundation Support

四川省自然科学基金资助项目(2025ZNSFSC0493)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.12.0516
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 8

Publish History

[2026-04-30] Accepted Paper

Cite This Article

温柳英, 张耀, 闵帆. 基于矩阵分解与双邻点球面插值的数据扩增方法 [J]. 计算机应用研究, 2026, 43 (8). (2026-04-30). https://doi.org/10.19734/j.issn.1001-3695.2025.12.0516. (Wen Liuying, Zhang Yao, Min Fan. Matrix factorization and dual-neighbor spherical interpolation driven data augmentation [J]. Application Research of Computers, 2026, 43 (8). (2026-04-30). https://doi.org/10.19734/j.issn.1001-3695.2025.12.0516. )

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)