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Table 4 Average of climatic variables for each cluster

From: Classification of pavement climatic regions through unsupervised and supervised machine learnings

Clusters 4 clusters
1(wet no freeze) 2(dry no freeze) 3(dry freeze) 4(snow freeze)
Sample number 8601 3537 9099 429
MEAN_ANN_TEMP_AVG 16 17 9 5
MAX_ANN_TEMP_AVG 22 25 15 11
MIN_ANN_TEMP_AVG 10 10 2 0
MAX_ANN_TEMP 37 41 35 32
MIN_ANN_TEMP −10 − 10 −25 −29
DAYS_ABOVE_32_C_YR 50 93 14 4
DAYS_BELOW_0_C_YR 55 57 148 170
FREEZE_INDEX_YR 49 49 582 983
FREEZE_THAW_YR 50 53 101 95
MAX_ANN_HUM_AVG 91 68 87 90
MIN_ANN_HUM_AVG 49 30 48 53
TOTAL_ANN_PRECIP 1254 473 814 974
INTENSE_PRECIP_DAYS_YR 31 11 18 20
WET_DAYS_YR 144 76 141 174
TOTAL_SNOWFALL_YR 130 142 1127 2218
SNOW_COVERED_DAYS_YR 0 0 1 95