Publication Date:
2020-02-24
Description:
Abstract. Looking for curves similarity could be a complex issue characterized by
subjective choices related to continuous transformations of observed discrete data
(Chiodi, 1989). Waveforms correlation techniques have been introduced to charac-
terize the degree of seismic event similarity (Menke, 1999) and in facilitating more
accurate relative locations within similar event clusters by providing more precise
timing of seismic wave (P and S) arrivals (Phillips, 1997).
In this paper functional analysis (Ramsey, and Silverman, 2006) is considered to
highlight common characteristics of waveforms-data and to summarize these charac-
teristics by few components, by applying a variant of a classical clustering method to
rotated data (Sangalli et al., 2010) according to the direction of maximum variance
(i.e. based on PCA rotation of data).
Description:
Published
Description:
Karlsruhe (Germany)
Description:
open
Keywords:
FPCA
;
Waveforms clustering
;
04. Solid Earth::04.06. Seismology::04.06.99. General or miscellaneous
Repository Name:
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Type:
Conference paper
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