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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 3
657-662

Novel algorithm of overlapping subspace clustering under sparse condition

Qiu Yunfeia
Fei Bowenb
Liu Daqianc
Liu Xinga
a. School of Software, b. School of Business & Management, c. School of Electronics Information Engineering, Liaoning Technical University, Huludao Liaoning 125105, China
DOI: 10.19734/j.issn.1001-3695.2017.08.0904

Abstract

The existing subspace clustering algorithms cannot balance the density of the data in the same subspace and the sparsity of the data between different subspaces and most algorithms cannot solve the overlap of data. To solve the above problems, this paper proposed a novel algorithm of overlapping subspace clustering algorithm under sparse condition(OSCSC). The algorithm used the mixed norm representation method of l1 norm and Frobenius norm to establish the subspace representation model, and the weighted l1 norm regular term could improve the sparsity of different subspaces and the density of the same subspace. Then, the algorithm performed rechecks on the partitioned subspaces by using an overlapping probability model subject to exponential family distribution to determine whether exist overlapping in different subspaces, which could further improve the accuracy of clustering. The results of the experiment on both artificial datasets and real-world datasets show that the algorithm has better clustering performance by being compared to other contrast algorithms.

Foundation Support

国家自然科学基金青年科学基金资助项目(61401185)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.08.0904
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 3
Section: Algorithm Research & Explore
Pages: 657-662
Serial Number: 1001-3695(2019)03-003-0657-06

Publish History

[2019-03-05] Printed Article

Cite This Article

邱云飞, 费博雯, 刘大千, 等. 稀疏条件下的重叠子空间聚类算法 [J]. 计算机应用研究, 2019, 36 (3): 657-662. (Qiu Yunfei, Fei Bowen, Liu Daqian, et al. Novel algorithm of overlapping subspace clustering under sparse condition [J]. Application Research of Computers, 2019, 36 (3): 657-662. )

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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