From: Learning to cluster urban areas: two competitive approaches and an empirical validation
Method | DMON | GMM | N | p-value | 95% Conf. Interval |
---|---|---|---|---|---|
DMON VS GMM | 551 | 482 | 1033 | 0.034 | 0.50–0.56 |
DMON VS GMM / BLOCK | 281 | 230 | 511 | 0.026 | 0.50–0.59 |
DMON VS GMM / INDIVIDUAL | 270 | 252 | 522 | 0.456 | 0.47–0.56 |
DMON VS GMM / ALL | 152 | 99 | 251 | 0.001 | 0.54–0.66 |
DMON VS GMM / SOCIAL | 128 | 147 | 275 | 0.277 | 0.40–0.52 |
DMON VS GMM / LAND USE | 136 | 119 | 255 | 0.316 | 0.47–0.59 |
DMON VS GMM / VISUAL | 135 | 117 | 252 | 0.284 | 0.47–0.59 |
DMON VS GMM / GLOBAL | 301 | 282 | 583 | 0.456 | 0.47–0.55 |
DMON VS GMM / LOCAL | 250 | 200 | 450 | 0.021 | 0.50–0.60 |