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What is Robust Convex Biclustering about?

This paper presents a robust convex biclustering algorithm that utilizes Huber loss to effectively handle heavy-tailed data, commonly encountered in various fields such as biomedical analysis and recommendation systems. A tuning-free method is introduced for selecting the optimal robustification parameter, enhancing efficiency and accuracy in applications. The proposed algorithm demonstrates superior performance over traditional methods in simulations and is applied to lung cancer microarray data to identif

Author

Desi Vitona

Language

EN