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flow field reconstruction 1hemodynamic indicators 1incompressible navier-stokes 1physics-informed neural networks 1wall shear stress estimation 1

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20242026
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stat.ML2026

K-Models: a Flexible and Interpretable Method for Ordinal Clustering with Application to Antigen-Antibody Interaction Profiles

Giulia Patanè, Alessandra Menafoglio, Alexander Krauth +4

Existing clustering methods for functional data often prioritize partitioning accuracy over interpretability, making it challenging to extract meaningful insights when the data-gen…