Robust convex biclustering with a tuning-free method-Reference-Cited by-同舟云学术

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Robust convex biclustering with a tuning-free method

Published:2024-06-17 Issue: Volume: Page:1-16
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Chen Yifan¹,Lei Chunyin²,Li Chuanquan²³,Ma Haiqiang²³,Hu Ningyuan⁴

Affiliation:

1. Department of Statistics and Applied Probability, University of California, Santa Barbara, CA, USA

2. School of Statistics and Data Science, Jiangxi University of Finance and Economics, Nanchang, People's Republic of China

3. Key Laboratory of Data Science in Finance and Economics, Jiangxi University of Finance and Economics, Nanchang, People's Republic of China

4. Department of Mathematics, University College London, London, UK

Funder

Technology Research Project of Education Department of Jiangxi Province

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2024.2367143

Reference38 articles.

1. Biclustering neighborhood-based collaborative filtering method for top-n recommender systems;Alqadah F.;Knowl. Inf. Syst.,2015

2. Robust hierarchical clustering;Balcan M.-F.;J. Mach. Learn. Res.,2014

3. A dykstra-like algorithm for two monotone operators;Bauschke H.H.;Pac. J. Optim.,2008

4. Iterative signature algorithm for the analysis of large-scale gene expression data;Bergmann S.;Phys. Rev. E.,2003

5. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

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