Benchmark id: inv2b
Multi-Dimensional Scaling (MDS) analysis
Note
This analysis employs multidimensional scaling (Borg and Groenen, 2005) to compare the slip models. The dissimilarities are obtained for all pairs of slip models, viz. dissimilarity matrix and embedded in low dimensional Euclidean space. We define four categories or levels of similarity: ”excellent”, ”good”, ”fair”, and ”poor” with respect to a reference (or target) solution or a centroid measure in absence of a reference solution.
For more details on the technique:
Number of solutions is not adequate!
Note
This analysis employs multidimensional scaling (Borg and Groenen, 2005) to compare the slip models. The dissimilarities are obtained for all pairs of slip models, viz. dissimilarity matrix and embedded in low dimensional Euclidean space. We define four categories or levels of similarity: ”excellent”, ”good”, ”fair”, and ”poor” with respect to a reference (or target) solution or a centroid measure in absence of a reference solution.
Graphical interpretation for the similarity scale is as follows:
Excellent | Solution/s located inside the innermost circle |
Good | Solution/s located between the innermost and middle circle |
Fair | Solution/s located between the middle and outermost circle |
Poor | Solutions/s located outside the outermost circle |
For more details on the technique:
1. | Borg, I. and P. Groenen (2005). Modern Multidimensional Scaling, 2nd edition. New York, Springer | 2. | Razafindrakoto, H. N., Mai, P. M., Genton, M. G., Zhang, L., and Thingbaijam, K. K. (2015). Quantifying variability in earthquake rupture models using multidimensional scaling: application to the 2011 Tohoku earthquake. Geophysical Journal International, 202(1), 17-40. |