Discussion of “clustering on dissimilarity representations for detecting mislabelled seismic signals at nevado del ruiz volcano” by mauricio orozco-alzate, and césar germán castellanos-domínguez
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Artículo de revista
Document language
EspañolPublication Date
2008Metadata
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The authors are to be congratulated for a systematic investigationof the accurate and non subjective classifying approach in seismic research. The authors have conducted several clustering algorithms to the seismic event records from Volcanological and SeismologicalObservatory at Manizales. Their objective was to improve the grouping of seismic data (i.e., volcano-tectonic earthquakes, long-period earthquakes and icequakes) digitized at 100.16 Hz sampling frequency.Their study seems adding new approach to their previous work of Langer et al. (2006) who applied different classification techniques to seismic data.Collections
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