An object of class hclust which describes the tree produced by the clustering process. The object is a list with components:
merge
an n-1 by 2 matrix. Row i of merge describes the merging of clusters at step i of the clustering. If an element j in the row is negative, then observation -j was merged at this stage. If j is positive then the merge was with the cluster formed at the (earlier) stage j of the algorithm. Thus negative entries in merge indicate agglomerations of singletons, and positive entries indicate agglomerations of non-singletons.
height
a set of n-1 non-decreasing real values. The clustering height: that is, the value of the criterion associated with the clustering method for the particular agglomeration.
order
a vector giving the permutation of the original observations suitable for plotting, in the sense that a cluster plot using this ordering and matrix merge will not have crossings of the branches.
labels
labels for each of the objects being clustered.
call
the call which produced the result.
method
the cluster method that has been used.
dist.method
the distance that has been used to create d (only returned if the distance object has a "method" attribute).