On Wed, 2009-10-21 at 17:35 +0200, Caro B. wrote:> Dear R-Help-Team,
>
>
> I would like to cluster my data using the ward-method. In several papers I
> read (e.g. Bahrenberg) that it is neccesary to use the "squared
euclidean
> distance" with the ward-method. Unfortunatelly I cannot find this term
in r
> as a method for measuring the distance.
>
> Does anybody have an idea?
Compute the Euclidean distance then square the numbers to undo the sqrt
applied within dist.
set.seed(1)
dat <- data.frame(X1 = runif(10), X2 = runif(10))
d.euc <- dist(dat)
d.sqeuc <- d.euc^2
class(d.sqeuc) ## still a dist object
I have no idea what/who Bahrenberg is or whether/why it is advisable to
use this sq Euclidean with Ward's method; in my field I've seen
Ward's
method used with all sorts of distance coefficients...
HTH
G
>
> Thanks in advance,
> Carolin
>
> [[alternative HTML version deleted]]
>
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Dr. Gavin Simpson [t] +44 (0)20 7679 0522
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