A compressed sensing based least squares approach to semi-supervised local cluster extraction

DOI10.1007/s10915-022-02052-xarXiv2202.02904OpenAlexW4318771067MaRDI QIDQ6158985

Ming-Jun Lai, Zhaiming Shen

Publication date: 20 June 2023

Published in: Journal of Scientific Computing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2202.02904

zbMATH Keywords

least squarescompressed sensinggraph clusteringgraph Laplaciansemi-supervised clusteringlocal clustering

Mathematics Subject Classification ID

Analysis of algorithms and problem complexity (68Q25) Graph theory (including graph drawing) in computer science (68R10) Computer graphics; computational geometry (digital and algorithmic aspects) (68U05) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

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