I found a way to draw rectangles around whatever cutree cuts, so I think I
now have a better idea, which is that it looks for the largest k distances
and cuts there, where k is the # clusters you want defined. Then, I assume
Dunn index uses the same defined #clusters to determine within vs. acro
Basic question:
Is it correct to assume that when using cutree to set the # clusters
(say k=4), cutree determines the clusters by the largest distances
among all potential clusters?
I've read the R help for cutree and am using it to define the number
of groups to obtain Dunn Index scores (using c
2 matches
Mail list logo
