Introduces K-Models, an ordinal-constrained clustering framework for functional data that estimates process elements while preserving cluster order, applied to biomolecular interaction profiles.
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A new functional clustering framework for survival data that smooths log-hazard trajectories with B-splines, applies FPCA, and clusters on the scores to group by temporal risk dynamics.
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K-Models: a Flexible and Interpretable Method for Ordinal Clustering with Application to Antigen-Antibody Interaction Profiles
Introduces K-Models, an ordinal-constrained clustering framework for functional data that estimates process elements while preserving cluster order, applied to biomolecular interaction profiles.