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. 2020 Jan 17;6:499. doi: 10.3389/fvets.2019.00499

Table 4.

Number and percentage of 762 dogs presenting with separation related problems assigned to each group according to the type of cluster analysis.

HACA A (n = 133) % B (n = 221) % C (n = 271) % D (n = 137) %
CAPAM
E (n = 118) 114 85.714 3 1.358 0 0 1 0.73
% 96.610 2.542 0 0.848
F (n = 244) 17 12.782 200 90.498 6 2.214 21 15.329
% 6.967 81.967 2.459 8.607
G (n = 118) 3 2.256 0 0 13 4.797 104 75.912
% 2.542 0 11.017 88.136
H (n = 282) 1 0.752 18 8.145 252 92.989 11 8.029
% 0.355 6.383 89.362 3.901

Bold and italic numbers indicate to which group most dogs were assigned. Underlined numbers on the right of the bold and italic ones are related to the Hierarchical agglomerative cluster analysis (HACA) while those under the bold and italic are related to the Cluster analysis using partitioning around medoids method (CAPAM).

HACA, hierarchical agglomerative (clusters named A, B, C, and D); and CAPAM, partitioning around medoids (clusters named E, F, G, and H).