Application of <i>k</i>-means and Gaussian mixture model for classification of seismic activities in Istanbul
Two unsupervised pattern recognition algorithms, <i>k</i>-means, and Gaussian mixture model (GMM) analyses have been applied to classify seismic events in the vicinity of Istanbul. Earthquakes, which are occurring at different seismicity rates and extensions of the Thrace-Eskisehir Fault...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2012-08-01
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| Series: | Nonlinear Processes in Geophysics |
| Online Access: | http://www.nonlin-processes-geophys.net/19/411/2012/npg-19-411-2012.pdf |