Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/7219
AuthorsBenvegna, Francesco* 
D'Alessandro, Antonino* 
Lo Bosco, Giosuè* 
Luzio, Dario* 
Pinello, Luca* 
Tegolo, Domenico* 
TitleA new dissimilarity measure for clustering seismic signals
Issue Date6-Sep-2011
URIhttp://hdl.handle.net/2122/7219
KeywordsClustering
Seismci singnals
dissimilarity measure
Subject Classification04. Solid Earth::04.06. Seismology::04.06.09. Waves and wave analysis 
AbstractHypocenter and focal mechanism of an earthquake can be determined by the analysis of signals, named waveforms, related to the wave field produced and recorded by a seismic network. Assuming that waveform similarity implies the similarity of focal parameters, the analysis of those signals characterized by very similar shapes can be used to give important details about the physical phenomena which have generated an earthquake. Recent works have shown the effectiveness of cross-correlation and/or cross-spectral dissimilarities to identify clusters of seismic events. In this work we propose a new dissimilarity measure between seismic signals whose reliability has been tested on real seismic data by computing external and internal validation indices on the obtained clustering. Results show its superior quality in terms of cluster homogeneity and computational time with respect to the largely adopted cross correlation dissimilarity.
Appears in Collections:Conference materials

Files in This Item:
File Description SizeFormat 
iciap2011-185.pdf270.16 kBAdobe PDFView/Open
iciap2011_poster.pdf1.49 MBAdobe PDFView/Open
Show full item record

Page view(s)

61
Last Week
0
Last month
0
checked on Aug 21, 2017

Download(s)

231
checked on Aug 21, 2017

Google ScholarTM

Check