Algorithm Research & Explore
|
1646-1651

Stream data clustering algorithm based on differential sampling

Qiu Yunfei
Sun Mengran
College of Software, Liaoning Technical University, Huludao Liaoning 125105, China

Abstract

Concerning the problems of high time complexity, large storage space requirements and low accuracy when traditional clustering algorithm cluster stream data, this paper proposed a kind of stream data clustering algorithm based on differential sampling. First, it used the differential sampling method sampled stream data, and used sample points to construct kernel matrix. Then it used kernel fuzzy C-means clustering algorithm clustered the data points in the kernel matrix, obtained a marked sample kernel matrix. Finally, it used the marked kernel matrix divided the stream data. Meanwhile, this paper adop-ted the fading cluster mechanism to update kernel matrix in real time. Experimental results show that compared with the traditional clustering algorithm, the proposed algorithm achieves lower time complexity, real-time clustering at the same time, gets the ideal clustering result.

Foundation Support

国家自然科学基金资助项目(61404069)
辽宁省教育厅科学研究项目(LJYL048)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.12.0808
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 6
Section: Algorithm Research & Explore
Pages: 1646-1651
Serial Number: 1001-3695(2019)06-010-1646-06

Publish History

[2019-06-05] Printed Article

Cite This Article

邱云飞, 孙梦冉. 基于差异性采样的流数据聚类算法 [J]. 计算机应用研究, 2019, 36 (6): 1646-1651. (Qiu Yunfei, Sun Mengran. Stream data clustering algorithm based on differential sampling [J]. Application Research of Computers, 2019, 36 (6): 1646-1651. )

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)