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.

Palabras clave: classification, functional data

GT6-1 Análisis de Datos Funcionales
5 de septiembre de 2019  10:40
I3L9. Edificio Georgina Blanes

J. A. Cuesta Albertos, S. Dutta

M. C. Aguilera Morillo, A. M. Aguilera del Pino, M. Escabias Machuca

C. Ramos Carreño, A. Suárez González, J. L. Torrecilla Noguerales