Principal component analysis vs. self-organizing maps combined with hierarchical clustering for pattern recognition in volcano seismic spectra

Variations in the spectral content of volcano seismicity related to changes in volcanic activity are commonly identified manually in spectrograms. However, long time series of monitoring data at volcano observatories require tools to facilitate automated and rapid processing. Techniques such as self...

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Veröffentlicht in:	Journal of volcanology and geothermal research 2016-06, Vol.320, p.58-74
Hauptverfasser:	Unglert, K., Radić, V., Jellinek, A.M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Automation Cluster analysis Clustering Hierarchical clustering Pattern recognition Performance evaluation Principal component analysis Self-organizing maps Spectra Volcanic activity Volcano seismicity Volcanoes
Online-Zugang:	Volltext
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