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Título
Time series clustering using the the total variation distance with applications in Oceanography
Año del Documento
2015
Editorial
Universidad de Valladolid. Facultad de Medicina
Descripción
Producción Científica
Documento Fuente
Arxiv, 21 jav. 2015 p.1-23
Abstract
A time series clustering algorithm based on the use of the total variation distance
between normalized spectra as a measure of dissimilarity is proposed in this work.
The oscillatory behavior of the series is thus considered the central characteristic for
classi cation purposes. The proposed algorithm is compared to several other methods
which are also based on features extracted from the original series and the results show
that its performance is comparable to the best methods available and in some tests it
outperforms the rest. As an application the algorithm is used to determine stationary
periods for random sea waves, both in simulations and on a real data set, a problem
in which changes between stationary sea states are usually slow.
Materias (normalizadas)
Oceanografía - Estadística
Revisión por pares
SI
Idioma
eng
Derechos
openAccess
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