Resumen

OROZCO-ALZATE, Mauricio  y  CASTELLANOS-DOMINGUEZ, César Germán. CLUSTERING ON DISSIMILARITY REPRESENTATIONS FOR DETECTING MISLABELLED SEISMIC SIGNALS AT NEVADO DEL RUIZ VOLCANO . Earth Sci. Res. J. [online]. 2007, vol.11, n.2, pp.135-140. ISSN 1794-6190.

Classification of seismic signals at Colombian volcanoes has been carried out manually by visual inspection. In order to reduce the workload for the seismic analysts and to turn classification reliable and objective, the use of supervised learning algorithms has been explored; particularly classifiers built in dissimilarity spaces. Nonetheless, the performance of such learning methods is subject to the availability of a representative and a priori well classified training set. To detect mislabelled events, we propose the use of clustering techniques on the dissimilarity representations. Our experiments, performed on re-analyzed seismic signals, show a significant improvement respect to recognition accuracies for the original data sets.

Palabras clave : Clustering; dissimilarity; mislabelling; seismic signals.

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