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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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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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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Functional Clustering of Survival Data via Smoothed Log-Hazard Trajectories: A Risk-Dynamics Perspective
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.