Table 3 Country-by country participation in the formation of clusters
From: A robust machine learning approach to SDG data segmentation
Centroids | Cluster | Botswana | Cameroon | Ghana | Kenya | Rwanda | South Africa | Total | \(\frac{B_{ss}}{T_{ss}}\) |
|---|---|---|---|---|---|---|---|---|---|
K=2 | C1 | 9 | 0 | 0 | 0 | 0 | 30 | 39 | Â |
C2 | 15 | 16 | 23 | 22 | 25 | 0 | 101 | 28.1% | |
K=3 | C1 | 18 | 0 | 23 | 1 | 1 | 0 | 43 | Â |
C2 | 0 | 16 | 0 | 21 | 24 | 0 | 61 | Â | |
C3 | 6 | 0 | 0 | 0 | 0 | 30 | 36 | 40.0% | |
K=4 | C1 | 0 | 16 | 7 | 9 | 0 | 0 | 32 | Â |
C2 | 0 | 0 | 0 | 0 | 25 | 0 | 25 | Â | |
C3 | 24 | 0 | 16 | 13 | 0 | 0 | 53 | Â | |
C4 | 0 | 0 | 0 | 0 | 0 | 30 | 30 | 50.6% | |
K=5 | C1 | 0 | 16 | 5 | 7 | 0 | 0 | 28 | Â |
C2 | 0 | 0 | 0 | 0 | 25 | 0 | 25 | Â | |
C3 | 14 | 0 | 18 | 15 | 0 | 0 | 47 | Â | |
C4 | 10 | 0 | 0 | 0 | 0 | 0 | 10 | Â | |
C5 | 0 | 0 | 0 | 0 | 0 | 30 | 30 | 58.3% |