Cluster Summary


Cluster #0 Cluster #1 Cluster #2 Cluster #3
Cluster #4



Cluster: Cluster 0: high Sst_mean_monthly, medium Runoff_total_ann Cluster 1: low Salinity_min_month, low Runoff_total_ann Cluster 2: high Runoff_total_ann
  Value Std Dev % Populated Value Std Dev % Populated Value Std Dev % Populated
Archetype Point: 106751 -- -- 87301 -- -- 112513 -- --
Points Per Cluster: 41(14%) -- -- 47(16%) -- -- 8(3%) -- --
Sst_mean_monthly: 27.7334 0.67004 100 23.727 0.430692 100 28.2475 0.202043 100
Salinity_min_month: 35.5178 0.281403 100 30.383 0.791979 100 35.3825 0.30858 100
Runoff_total_ann: 1118.46 298.04 100 336.064 232.431 100 2803.75 764.269 100



Cluster: Cluster 3: low Sst_mean_monthly, high Salinity_min_month, low Runoff_total_ann Cluster 4: high Sst_mean_monthly, low Runoff_total_ann
  Value Std Dev % Populated Value Std Dev % Populated
Archetype Point: 83719 -- -- 99546 -- --
Points Per Cluster: 43(15%) -- -- 155(53%) -- --
Sst_mean_monthly: 24.063 0.632261 100 27.2382 0.707562 100
Salinity_min_month: 33.9865 0.958739 100 35.6023 0.842461 100
Runoff_total_ann: 283.721 145.099 100 208.452 155.729 100



Entire Set
Value Std Dev Min Max
Archetype Point: -- -- -- --
Points Per Cluster: -- -- -- --
Sst_mean_monthly: 26.309 1.74767 23.08 28.47
Salinity_min_month: 34.5138 2.04169 29.05 36.5
Runoff_total_ann: 437.388 547.671 0 3943

Clustering Method

Segmentation Method: K-means
Distance Measure: Scaled
Random Seed: 43657072

Variables Used

Variable Weight
Sst_mean_monthly     1
Salinity_min_month     1
Runoff_total_ann     1

Tue May 1 16:31:13 2001