Extreme-based Clustering of Environmental Time Series

• Autores: Manuel G. Scotto , Susana M. Barbosa, Andrés M. Alonso Fernández
• Localización: BEIO, Boletín de Estadística e Investigación Operativa, ISSN 1889-3805, Vol. 29, Nº. 2, 2013, págs. 92-102
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• Resumen

  • This work provides an up-to-date review on clustering techniques to classify time series on the basis of their corresponding extremal properties with a bias towards describing the authors� ongoing work. Applications to clustering time series of sea-level and daily mean temperature are presented.