Constrained variable clustering and the best basis problem in functional data analysis

Abstract

Functional data analysis involves data described by regular functions rather than by a finite number of real valued variables. While some robust data analysis methods can be applied directly to the very high dimensional vectors obtained from a fine grid sampling of functional data, all methods benefit from a prior simplification of the functions that… (More)
DOI: 10.1007/978-3-642-13312-1_46

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