K-Means cluster-weighted training cuts average MSE 34% and lifts R² from 0.54 to 0.80 for a 3D CNN predicting Reynolds stresses on StellarBox quiet-Sun data.
Small-scale Dynamo Simulations: Magnetic Field Am- plification in Exploding Granules and the Role of Deep and Shallow Recirculation,
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Cluster-Weighted Training of Deep Surrogate Models for Subgrid Turbulent Transport
K-Means cluster-weighted training cuts average MSE 34% and lifts R² from 0.54 to 0.80 for a 3D CNN predicting Reynolds stresses on StellarBox quiet-Sun data.