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Free Knot Splines for Supervised Classification

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Abstract

Data in many different fields come to practitioners through a process naturally described as functional. We propose a classification procedure of oxidation curves. Our algorithm is based on two stages: fitting the functional data by linear splines with free knots and classifying the estimated knots which estimate useful oxidation parameters. A real data set on 57 oxidation curves is used to illustrate our approach.

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Correspondence to Nicolas Molinari.

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Molinari, N. Free Knot Splines for Supervised Classification. Journal of Classification 24, 221–234 (2007). https://doi.org/10.1007/s00357-007-0013-y

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  • DOI: https://doi.org/10.1007/s00357-007-0013-y

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