The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Subspace Clustering
Abstract
Over the past few decades, significant progress has been made in clustering high-dimensional data sets distributed around a collection of linear and affine subspaces. This article presented a review of such progress, which included a number of existing subspace clustering algorithms together with an experimental evaluation on the motion segmentation and face clustering problems in computer vision.
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Citations
Cites
Maximum Likelihood from Incomplete Data Via the EM Algorithm
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1977.tb01600.x · Cited by 50,444
Fischler, M. A., & Bolles, R. C. (1981) · Communications of the ACM · doi:10.1145/358669.358692 · Cited by 25,893
Cited by
Sparse Subspace Clustering: Algorithm, Theory, and Applications
Elhamifar, E., & Vidal, R. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2013.57 · Cited by 3,106
Self-citationMoving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation
Zhou, X., Yang, C., & Yu, W. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.132 · Cited by 648
A Survey of Clustering With Deep Learning: From the Perspective of Network Architecture
Min, E., Guo, X., Liu, Q., Zhang, G., Cui, J., & Long, J. (2018) · IEEE Access · doi:10.1109/access.2018.2855437 · Cited by 553
Graph Learning for Multiview Clustering
Zhan, K., Zhang, C., Guan, J., & Wang, J. (2018) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2017.2751646 · Cited by 543
A geometric analysis of subspace clustering with outliers
Soltanolkotabi, M., & Candés, E. J. (2012) · The Annals of Statistics · doi:10.1214/12-aos1034 · Cited by 411
Metadata
- Authors
- Vidal, R.
- Venue
- IEEE Signal Processing Magazine
- Published
- 2011-03
- Volume
- 28
- Issue
- 2
- Pages
- 52-68
- ISSN
- 1053-5888 (ISSN-L)
- OpenAlex
- W2294644361
- Cited by
- 1,126
- References
- 2
- FWCI
- 49.67
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
