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z-scores:
1.4
5.85
3.82
1.79
2.02
2.34
1.55
1.19
-0.57
2
3
4
5
6
7
8
9
10
Number of Clusters, k
Fig. 15.7. Average silhouette coefficients vs. cluster size k computed from variables V 1 , V 2 and V 3
(solid circles), together with boxplots of the ranges of average silhouette coefficients obtained for 100
independent random permutations of V 2 and V 3 .
Table 15.3. Summary of the stepwise clustering re-
sults from Sec. 15.6.1, giving the variables included,
the number of clusters k , the average silhouette co-
efficients S ,andthe z -scores, z .
k
S
z
Va r i a b l e s
V 1 , V 3
-
-
-
V 1 , V 2 , V 3
3 . 461
5 . 85
V 1 , V 2 , V 3 , V 9
3 . 438
7 . 69
V 1 , V 2 , V 3 , V 7 , V 9 3 . 389
8 . 81
4 . 399
8 . 65
V 1 , V 2 , V 3 , V 7 , V 9 , V 10 3 . 365
9 . 54
increase monotonically. In the example illustrating the influence of extraneous
variables discussed by Pearson et al. [16], the silhouette coefficient values also
decreased as additional — there extraneous — variables were added, but there the
corresponding z -scores decreased there rather than increased, as here. The sec-
ond point to note is the consistent optimality or near-optimality of k =3over
all of the different variable subsets considered, suggesting stability but raising the
question of how the actual clusterings compare, the point considered next.
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