1 
Results from the hierarchical cluster analysis can be presented in
dendrograms
.

2 
Dendrograms
of this type are notoriously labile as new information appears and opinion changes.

3 
Coalescents can be visualised using
dendrograms
which show the relationship of branches of the population to each other.

4 
This approach was motivated by the observation that
dendrograms
that appear very different by visual inspection may actually encode identical relations.

5 
Specific nodes in these
dendrograms
are identified as tertiary structural clusters of the protein, these include both supersecondary structures and domains.

6 
Note however, that methods "median" and "centroid" are not leading to a monotone distance measure, or equivalently the resulting
dendrograms
can have so called inversions (which are hard to interpret).

7 
In order to analyze the stability of the results of hierarchical clustering, we introduced a measure of similarity between two trees based on a comparison of the geometry of the
dendrograms
.

8 
To quantitate the stability of the hierarchical structure, we calculated the variance of the distance between all pairs of organs within each of the 1000 HC
dendrograms
.

9 
Phenetics did not try to reconstruct phylogenetic trees; rather, it tried to build
dendrograms
from similarity data; its algorithms required less computer power than phylogenetic ones.

10 
their
dendrograms
.
