Robustness Analysis of USmorph: I. Generalization Efficiency of Unsupervised Strategies and Supervised Learning in Galaxy Morphological Classification

This article focuses on the robustness of USmorph, specifically examining the generalization efficiency of unsupervised and supervised learning methods for galaxy morphological classification. The research likely investigates how well these methods perform on unseen data and their ability to handle variations in the data.