On deterministic conditions for subspace clustering under missing data

@article{Wang2016OnDC,
  title={On deterministic conditions for subspace clustering under missing data},
  author={W. Wang and S. Aeron and V. Aggarwal},
  journal={2016 IEEE International Symposium on Information Theory (ISIT)},
  year={2016},
  pages={850-854}
}
  • W. Wang, S. Aeron, V. Aggarwal
  • Published 2016
  • Computer Science, Mathematics
  • 2016 IEEE International Symposium on Information Theory (ISIT)
In this paper we present deterministic analysis of sufficient conditions for sparse subspace clustering under missing data, when data is assumed to come from a Union of Subspaces (UoS) model. In this context we consider two cases, namely Case I when all the points are sampled at the same co-ordinates, and Case II when points are sampled at different locations. We show that results for Case I directly follow from several existing results in the literature, while results for Case II are not as… Expand
2 Citations
Theoretical Analysis of Sparse Subspace Clustering with Missing Entries
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A note on information-theoretic bounds on matrix completion under union of subspaces model
  • V. Aggarwal, S. Aeron
  • Mathematics, Computer Science
  • 2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton)
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