[R] cluster analyses

[Grum, Mikkel]

I'm clustering rather large data sets and would like to cut the dendrograms
to get a better view of specific components.  I calculate the dissimilarity
matrix using daisy() because I have a mixture of variable types: factors,
ordered factors and numerical variables.  If I want one dendrogram, I use
agnes() for the agglomerative nesting and pltree() to draw the dendrogram.
That way, I get the row names as labels, but I can't cut the tree.

Alternatively, I use hclust() on the dissimilarity matrix from daisy().
This allows me to cut the dendrogram with cutree(), but I loose the labels,
so that isn't much use.  I can change the output from hclust() to class
dendrogram with as.dendrogram().  This has a rather neat way of cutting the
dendrogram with cut.dendrogram(), which allows you to show specific lower
sections of the dendrogram with plot.dendrogram(object$lower[[1]]). Again, I
loose the labels.

Does anyone know how to keep the row names as labels when starting with
daisy() and ending with plot.dendrogram()?  A couple of months ago, I had a
look at the code for as.hclust() and managed to change it so that I could
keep the labels, but now I don't remember how I got to see the code. When I
type as.hclust, I get "function(x,...) UseMethod("as.hclust")".

Also, does anyone know how to get a horizontal dendrogram so that the labels
are readable? Ideally with the labels to the right??
Any help would be greatly appreciated.

Best wishes,
Mikkel
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