Is Clustering Advantageous in Statistical Ill-Posed Linear Inverse Problems?

DOI10.1109/TIT.2020.3014409zbMath1453.62549OpenAlexW3047489822MaRDI QIDQ5138884

Marianna Pensky, Rasika Rajapakshage

Publication date: 4 December 2020

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

Full work available at URL: https://doi.org/10.1109/tit.2020.3014409

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Nonparametric estimation (62G05) Probability theory on linear topological spaces (60B11)

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Optimal indirect estimation for linear inverse problems with discretely sampled functional data

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