Apparently, the same issue exists in SAS, where there is an option to run the
Ward algorithm based only on the distance matrix. Perhaps, a SAS user could
confirm that or even check with SAS.
Peter
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whether it really is what hclust does, because I didn't check the
underlying Fortran code.
Note that I may have missed postings in this thread, so sorry if this
doesn't add to what you already have worked out.
Christian
On Wed, 6 Oct 2010, PeterB wrote:
Apparently, the same issue
The clustering function hclust has a method = ward”, and apparently many
people use that option. However, the Ward method seems to minimize an
increase in the error sums of squares, which are calculated with respect to
the cluster mean. However, hclust has only a dissimilarity matrix as an
input.
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