A new hypothesis testing based technique for the simultaneous detection of seismic events

The April 2007 Swarm in Trichonis Lake Using Data From a Microseismic Network

“…For the comparison of individual seismograms, we use a correlation based technique (Pikoulis et al, 2006) that outperforms the classic method that is based on the maximization of the correlation coefficient. The motivation behind the development of this method was the observation that different parts of the waveforms have different impact on the value of correlation coefficient (Pikoulis et al, 2006). In particular, the contribution of each part was found to be strongly depended on its energy.…”

“…In order to avoid the limitations of well known clustering algorithms such as the hierarchical methods, the k -means, the fuzzy means, and the Expectation Maximization algorithm (Everitt et al, 2001, Bardaine et al, 2006, Becker et al, 2006, we propose a fast, sequential, graph based algorithm that exploits the structure of the similarity graph and produces a single cluster in each iteration. The proposed algorithm (Pikoulis et al, 2006) emphasizes on the quality of the produced clusters by introducing a suitable measure to evaluate the participation of each object to a cluster and by expressing the overall quality of the cluster as a function of the participations of the individuals that comprise it. Each iteration is a two -step procedure.…”