Electronic Supplement to
Automatic Clustering of Macroseismic Intensity Data Points from Internet Questionnaires: Efficiency of the Partitioning around Medoids (PAM)

by Daniel Amorèse, Rémy Bossu, and Gilles Mazet-Roux

Table S2. Clustering Results and Validation

ID ID2* Date and Time
(yyyy/mm/dd
hh:mm:ss)
Country Number of clusters (1) Diameter (km) (2) Zone size (km) Ratio (1)/(2) Sim
A 228594 2011/07/10 22:54:20 Spain 6 14 68 0.21 0.60
B 197186 2010/12/23 01:35:59 Serbia 7 3 169 0.02 0.57
C 219660 2011/04/28 23:30:44 Bosnia and Herzegovina 9 0 240 0.00 0.78
D 249669 2011/12/31 20:04:58 Ohio 10 53 509 0.10 0.67
E 221132 2011/05/01 16:47:28 Spain 26 13 974 0.01 0.65
F 232773 2011/08/20 02:00:24 Southern Greece 16 17 351 0.05 0.94
G 241504 2011/10/29 04:13:34 Northern Italy 29 22 501 0.04 0.76
H 242965 2011/11/05 07:12:44 Oklahoma 32 10 610 0.02 0.71
I 233197 2011/08/23 17:51:04 Virginia 33 77 1 797 0.04 0.69
J 237931 2011/10/04 02:40:46 Romania 33 7 708 0.01 0.61
K 196649 2010/11/03 00:56:54 Serbia 47 97 975 0.10 0.91
L 234981 2011/09/08 19:02:48 Germany 96 19 697 0.03 0.61
M 312831 2013/04/16 10:44:17 Iran–/Pakistan border region 90 10 5 583 0.00 0.50
N 317523 2013/05/17 13:43:22 Southern Ontario 140 24 2 099 0.01 0.36
O 338758 2013/10/12 13:11:54 Crete, Greece 205 2 2 877 0.00 0.38

The diameter of a cluster is the maximum distance between any two of its points. The zone size is the length of the diagonal of the rectangular zone encompassing the questionnaires. Sim is the clustering similarity with human/based clustering; this value is defined by equation (2) in the main article.

*ID2 is the EMSC–CSEM ID for the seismic event.

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