Table 7 Categorical compactness of the conclusions obtained in our study. \(C^{*}\) = 0 indicates a map whose compactness is below the median score (0.425), 1 indicates above the median
From: Learning to cluster urban areas: two competitive approaches and an empirical validation
C1 | C2 | SOCIAL | ALL | P(SOCIAL|C1,C2) | P(C1,C2) |
|---|---|---|---|---|---|
0 | 0 | 145 | 111 | 0.566 | 0.483 |
1 | 1 | 100 | 96 | 0.511 | 0.369 |
1 | 0 | 49 | 29 | 0.628 | 0.147 |
0 | 1 | 0 | 0 | 0.5 | 0 |
C1 | C2 | DMON | GMM | P(DMON|C1,C2) | P(C1,C2) |
0 | 0 | 313 | 230 | 0.576 | 0.582 |
1 | 1 | 180 | 131 | 0.578 | 0.333 |
1 | 0 | 58 | 82 | 0.414 | 0.151 |
0 | 1 | 0 | 0 | 0.5 | 0 |
C1 | C2 | IND | BLOCK | P(IND|C1,C2) | P(C1,C2) |
0 | 0 | 84 | 52 | 0.617 | 0.165 |
1 | 1 | 0 | 0 | 0.5 | 0 |
1 | 0 | 432 | 256 | 0.627 | 0.834 |
0 | 1 | 0 | 0 | 0.5 | 0 |