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Similarly, a silhouette analysis was performed for the four 10-year sub-periods in order to determine the number of K-means clustering for each sub-period. In doing so, all the silhouettes were visually examined based on different distance metrics as previously described in the analysis of the full-time period (1980–2020). Our analysis indicates that the cosine distance method gave the best result for the three sub-periods, including 1980–1989, 1990–1999, and 2010–2020. Only for the 2000–2009 period does the correlation distance method give the optimum number of clusters (Table 2).

Table 2

The silhouette analysis for the four 10-year sub-periods with the resulting optimum distance method (highlighted in bold and italics)

10-year sub-periodsDistance methodSilhoutte informationCluster members
345678
1980–1989 Cosine Average silhouette value 0.279 0.310 0.308 0.274 0.261 0.254 
Number of negative value 13 3 
1990–1999 Cosine Average silhouette value 0.281 0.284 0.286 0.294 0.277 0.274 
Number of negative value 14 4 11 
2000–2009 Correlation Average silhouette value 0.298 0.265 0.306 0.293 0.242 0.248 
Number of negative value 21 3 
2010–2020 Cosine Average silhouette value 0.262 0.264 0.276 0.279 0.279 0.243 
Number of negative value 18 10 22 17 7 18 
10-year sub-periodsDistance methodSilhoutte informationCluster members
345678
1980–1989 Cosine Average silhouette value 0.279 0.310 0.308 0.274 0.261 0.254 
Number of negative value 13 3 
1990–1999 Cosine Average silhouette value 0.281 0.284 0.286 0.294 0.277 0.274 
Number of negative value 14 4 11 
2000–2009 Correlation Average silhouette value 0.298 0.265 0.306 0.293 0.242 0.248 
Number of negative value 21 3 
2010–2020 Cosine Average silhouette value 0.262 0.264 0.276 0.279 0.279 0.243 
Number of negative value 18 10 22 17 7 18 

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