Adaptive Noisy Clustering

DOI10.1109/TIT.2014.2356577zbMath1360.94066arXiv1306.2194OpenAlexW2962788606MaRDI QIDQ2983372

Sébastien Loustau, Michaël Chichignoud

Publication date: 16 May 2017

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

Full work available at URL: https://arxiv.org/abs/1306.2194

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Information theory (general) (94A15)

Related Items (4)

Noisy discriminant analysis with boundary assumptions ⋮ Also for \(k\)-means: more data does not imply better performance ⋮ Bandwidth selection in kernel empirical risk minimization via the gradient ⋮ Nonasymptotic bounds for vector quantization in Hilbert spaces

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