A review on classification methods for functional data

M. Febrero Bande, J. Álvarez Liébana, M. Oviedo de la Fuente

Classification methods for functional data can be categorized in three main approaches: those derived from regression models, those employing depths and distances and those adapted from multivariate techniques (typically applied to a finite subspace). In this work, a review on classification methods is performed paying special attention to multiclass problems with unbalanced categories.

Keywords: classification, functional data

GT6-1 Functional Data Analysis
September 5, 2019  10:40 AM
I3L9. Georgina Blanes building

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