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.
What can we learn from the functional clustering of mortality data? an application to the human mortality database.Demographic Research, 45:803–834, 2021
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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.