Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
Journal of Computational and Applied Mathematics
The clustering of longitudinal multivariate data when time series are short
Multiway data analysis
A fast partitioning algorithm and its application to earthquake investigation
Computers & Geosciences
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In this paper we introduce a simple procedure to identify clusters of multivariate waveforms based on a simultaneous assignation and alignment procedure. This approach is aimed at the identification of clusters of earthquakes, assuming that similarities between seismic events with respect to hypocentral parameters and focal mechanism correspond to similarities between waveforms of events. Therefore we define a distance measure between seismic curves in R^dd=1, in order to interpret and better understand the main features of the generating seismic process.