Resumen de Extreme-based Clustering of Environmental Time Series

Manuel G. Scotto , Susana M. Barbosa, Andrés M. Alonso Fernández

• 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.