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Distance for Functional Data Clustering Based on Smoothing Parameter Commutation
The intuitions are that smoothing parameters of smoothing splines reflect inverse signal-to-noise ratios and that applying an identical smoothing parameter the smoothed curves for two similar subjects are expected to be close.
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