Hi all,
I wanted to run the hclust (or any other clustering algorithm) on a distance
matrix. I have formed the distance matrix as:
distmat:
a b c d e
a 0.00 0.96 1.60 1.60 1.68
b 0.96 0.00 0.96 1.80 2.64
c 1.60 0.96 0.00 0.84 1.80
d 1.60 1.80 0.84 0.00 0.96
e 1.68 2.64 1.80 0.96 0.00
Now, I would like to run a clustering algorithm on it. I tried:
newclust = hclust(distmat)
and got the following error:
Error in if (n < 2) stop("Must have n >= 2 objects to cluster") :
argument is of length zero
I understand that the documentation says that the matrix ' d: a dissimilarity
structure as produced by 'dist''. Does that mean that I need to convert it into
a lower triangle matrix? I also tried:
newclust = hclust(vech(distmat))
but this gave a similar error. Where am I going wrong?
Also, will hclust be able to handle 'NA' in the dissimilarity matrix?
many thanks,
Tim
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