Table A1.
Akaike Information Criterion.
| Auto-Clustering | ||||
|---|---|---|---|---|
| Number of Clusters | Akaike’s Information Criterion (AIC) | AIC Change a | Ratio of AIC Changes b | Ratio of Distance Measures c |
| 1 | 187.308 | |||
| 2 | 163.931 | −23.377 | 1.000 | 1.452 |
| 3 | 154.065 | −9.867 | 0.422 | 1.073 |
| 4 | 146.226 | −7.839 | 0.335 | 1.751 |
| 5 | 150.327 | 4.101 | −0.175 | 2.416 |
| 6 | 163.746 | 13.419 | −0.574 | 1.583 |
| 7 | 179.587 | 15.841 | −0.678 | 1.000 |
| 8 | 195.429 | 15.841 | −0.678 | 1.028 |
| 9 | 211.383 | 15.954 | −0.682 | 1.521 |
| 10 | 228.722 | 17.339 | −0.742 | 1.003 |
| 11 | 246.070 | 17.348 | −0.742 | 1.088 |
| 12 | 263.631 | 17.561 | −0.751 | 1.007 |
| 13 | 281.209 | 17.577 | −0.752 | 1.060 |
| 14 | 298.922 | 17.714 | −0.758 | 1.124 |
| 15 | 316.889 | 17.966 | −0.769 | 1.080 |
a The changes are from the previous number of clusters in the table. b The ratios of changes are relative to the change for the two-cluster solution. c The ratios of distance measures are based on the current number of clusters against the previous number of clusters.