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. 2023 Oct 21;13(20):3285. doi: 10.3390/ani13203285

Table A1.

The output from a hierarchical clustering analysis in SPSS, using the Ward method and square Euclidean distance including the proximity matrix and agglomeration schedule.

Square Euclidean Distance
Case 7: Eat insects 8: We do not eat/hunt 9: Not aggressive 10: Shoo from house 11: Awake at night
1: Electrocuted 14.000 21.000 13.000 14.000 31.000
2: They Bite 16.000 23.000 7.000 26.000 37.000
3: We do not touch 11.000 20.000 12.000 21.000 36.000
4: Bad omen 26.000 23.000 29.000 18.000 25.000
5: Used to be more/see less 13.000 20.000 16.000 23.000 24.000
6: Eat fruits 15.000 16.000 18.000 31.000 24.000
7: Eat insects 0.000 21.000 13.000 28.000 31.000
8: We do not eat/hunt 21.000 .000 22.000 33.000 22.000
9: Not aggressive 13.000 22.000 0.000 25.000 34.000
10: Shoo from house 28.000 33.000 25.000 0.000 37.000
11: Awake at night 31.000 22.000 34.000 37.000 0.000
Cluster Combined Stage Cluster First Appears
Stage Cluster 1 Cluster 2 Coefficients Cluster 1 Cluster 2 Next Stage
1 2 9 3.500 0 0 7
2 1 3 7.000 0 0 3
3 1 5 12.167 2 0 4
4 1 7 19.500 3 0 7
5 6 8 27.500 0 0 8
6 4 10 36.500 0 0 9
7 1 2 48.167 4 1 9
8 6 11 60.833 5 0 10
9 1 4 81.292 7 6 10
10 1 6 106.000 9 8 0