A Theoretical Analysis of Noisy Sparse Subspace Clustering on Dimensionality-Reduced Data

DOI10.1109/TIT.2018.2879912zbMath1432.62192arXiv1610.07650WikidataQ128995002 ScholiaQ128995002MaRDI QIDQ4615334

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Publication date: 28 January 2019

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1610.07650

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (1)

Rigorous restricted isometry property of low-dimensional subspaces

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