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Multimedia Tools and Applications

, Volume 77, Issue 17, pp 22281–22297 | Cite as

Entropy-based active sparse subspace clustering

  • Yanbei Liu
  • Kaihua Liu
  • Changqing Zhang
  • Xiao Wang
  • Shaona Wang
  • Zhitao Xiao
Article
  • 73 Downloads

Abstract

Sparse Subspace Clustering (SSC) is widely used in data mining and machine learning. Some studies have been developed to add pairwise constraints as side information to improve the clustering results. However, most of these algorithms are “passive” in the sense that the side information is provided beforehand. In this paper, we propose a novel extension for SSC with active learning framework, in which we aim to select the most informative pairwise constraints to guide the SSC for accurate clustering results. Specifically, in the first step, an entropy-based query strategy is proposed to select the most uncertain pairwise constraints. Next, constrained sparse subspace clustering algorithms are followed to integrate the selected pairwise constraints and obtain the final clustering results. Two steps are effectively performed in an iterative manner until satisfactory results are achieved. Experimental results on two face datasets clustering well demonstrate the effectiveness of the proposed method.

Keywords

Active learning Sparse subspace clustering Constrained clustering Entropy-based query strategy 

Notes

Acknowledgements

This work was supported in part by Major Program of National Natural Science Foundation of China (Grant no. 13&ZD162), Applied Basic Research Programs of China National Textile and Apparel Council (Grant no. J201509), National Natural Science Foundation of China(Grant no. 61601325), and Plan Program of Tianjin Educational Science and Research (Grant no. 2017KJ087).

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Yanbei Liu
    • 1
    • 2
  • Kaihua Liu
    • 3
  • Changqing Zhang
    • 4
  • Xiao Wang
    • 5
  • Shaona Wang
    • 1
    • 2
  • Zhitao Xiao
    • 1
    • 2
  1. 1.Tianjin Key Laboratory of Optoelectronic Detection Technology and SystemsTianjinChina
  2. 2.School of Electronics and Information EngineeringTianjin Polytechnic UniversityTianjinChina
  3. 3.School of Electronic Information EngineeringTianjin UniversityTianjinChina
  4. 4.School of Computer and Science TechnologyTianjin UniversityTianjinChina
  5. 5.Department of Computer Science and TechnologyTsinghua UniversityBeijingChina

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