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… CONTINUE READING
    2 Citations
    Theoretical Analysis of Sparse Subspace Clustering with Missing Entries
    • 15
    • PDF
    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)
    • 2016
    • PDF

    References

    SHOWING 1-10 OF 29 REFERENCES
    On the sample complexity of subspace clustering with missing data
    • 28
    • PDF
    Group-sparse subspace clustering with missing data
    • 29
    • PDF
    Sparse Subspace Clustering with Missing Entries
    • 65
    • Highly Influential
    • PDF
    Estimation of Subspace Arrangements with Applications in Modeling and Segmenting Mixed Data
    • 232
    • PDF
    K-subspaces with missing data
    • 40
    • PDF
    Greedy Subspace Clustering
    • 87
    • PDF
    Robust Subspace Clustering via Thresholding
    • 131
    • PDF
    High-Rank Matrix Completion and Subspace Clustering with Missing Data
    • 59
    • PDF
    A Geometric Analysis of Subspace Clustering with Outliers
    • 348
    • PDF
    Sparse Subspace Clustering: Algorithm, Theory, and Applications
    • E. Elhamifar, R. Vidal
    • Computer Science, Mathematics
    • IEEE Transactions on Pattern Analysis and Machine Intelligence
    • 2013
    • 1,075
    • PDF