A key problem in seismology is assessing the similarity or difference between events, and constructing categorisations based on these measures. Clustering algorithms remain an active area of research, but many approaches are well documented. This paper assesses the suitability of a selection of these approaches to the problem of seismic waves, with reference to a data set taken from Tunguruhua, Ecuador between 6-13 April 2015. In addition, approaches to modelling the waves, both parametric and nonparametric are fitted and assessed, and the suitability of certain data transformations are considered.
|Title of host publication||Proceedings of the 32nd International Workshop on Statistical Modelling (IWSM), Johann Bernoulli Institute, Rijksuniversiteit Groningen, Netherlands, 3-7 July 2017|
|Number of pages||4|
|Publication status||Published - 3 Jul 2017|