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Table 4.11. Results of cluster analysis determining number of clusters in date range data — Ward’s average linkage hierarchical method. |
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Number of Clusters | Frequency of New Cluster | R-Squared | Cubic Clustering Criterion |
15 | 34 | 0.990920 | 7.4610 |
14 | 150 | 0.990045 | 6.9227 |
13 | 130 | 0.988935 | 6.1444 |
12 | 71 | 0.987652 | 5.4206 |
11 | 100 | 0.986232 | 4.9119 |
10 | 67 | 0.983849 | 2.3140 |
9 | 74 | 0.981280 | 1.7779 |
8 | 187 | 0.978577 | 2.0168 |
7 | 64 | 0.975695 | 3.1230a |
6 | 317 | 0.968412 | 2.4613 |
5 | 174 | 0.956646 | 1.9804 |
4 | 384 | 0.935513 | 1.7256 |
3 | 178 | 0.909087 | 5.8414 |
2 | 558 | 0.795395 | 6.1120a |
1 | 736 | 0.000000 | 0.0000 |
aIndicates peaks in the Cubic Clustering Criterion when plotted against number of clusters. |