Horizontal to Vertical Spectral Ratio (HVSR) datasets acquired for studies of seismic microzoning invarious urban centers of Sicilian towns, have been used to test clustering analysis through a nonhierarchicalcentroid-based algorithm. In this context clustering techniques may be useful to identify areaswith similar seismic behaviour through HVSR data.Centroid-based algorithms generally require the number of clusters, k, and the initial centroid coordinatesto be specified in advance. This aspect is considered to be one of the biggest drawbacks of thesealgorithms. The proposed algorithm doesn’t limit the number of k clusters and choose the initial centroidsautomatically from the data set.Azimuthal variation of the H/V peaks was also taken into account. Finally different partitions obtainedusing the centroid-based algorithm were superimposed on the geological map of the analyzed sites toidentify possible correlations with geology and topography.The obtained results underline how the most appropriate clustering algorithm for a particular site oftenneeds to be chosen experimentally. In fact in many cases the choice of the partition is strongly linked tothe choice of parametric distance and to geological knowledge, while in other cases, the results showedsimilar results regardless of a priori choices.
|Numero di pagine||5|
|Stato di pubblicazione||Published - 2014|
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