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Clustering on dissimilarity representations for detecting mislabelled seismic signals at nevado del ruiz volcano

Alzate, Mauricio Orozco and Castellanos-Domínguez, César Germán (2011) Clustering on dissimilarity representations for detecting mislabelled seismic signals at nevado del ruiz volcano. Earth Sciences Research Journal; Vol. 11, núm. 2 (2007); 131-138 Earth Sciences Research Journal; Vol. 11, núm. 2 (2007); 131-138 2339-3459 1794-6190 .

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URL oficial: http://revistas.unal.edu.co/index.php/esrj/article...

Resumen

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 reliableand 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 sets. To detect mislabeled events, the use of clustering techniques on the dissimilarity representations is proposed. Our experiments,performed on re-analyzed seismic signals, show a significant improvement respect to recognition accuracies for the original data sets.

Tipo de documento:Artículo - Article
Unidad administrativa:Revistas electrónicas UN > Earth Sciences Research Journal
Código ID:24091
Enviado por : Dirección Nacional de Bibliotecas STECNICO
Enviado el día :27 Junio 2014 15:23
Ultima modificación:18 Agosto 2014 16:38
Ultima modificación:18 Agosto 2014 16:38
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