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Earth, Planets and Space
Fig. 9 | Earth, Planets and Space

Fig. 9

From: Rapid and quantitative uncertainty estimation of coseismic slip distribution for large interplate earthquakes using real-time GNSS data and its application to tsunami inundation prediction

Fig. 9

Clustering using k-means with the slip vector as the feature value. A Elbow method when the number of clusters is changed. b Frequency distribution of each cluster when K = 100 and K = 300. Red and light blue bins indicate clusters with inundation areas of 60 \({\mathrm{km}}^{2}\) or more, and 40 to 60 \({\mathrm{km}}^{2}\), respectively. c Correlation between the number of models included in each cluster and the variation of the slip distribution, which is the scalar value obtained by adding the slip ranges of all perturbation faults for each cluster. d Correlation between Mw and variance reduction (VR) of the median model (tsunami scenario) of each cluster. The dotted black line indicates the original VR of all clustered samples

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