I'm a new in R. I have a dissimitarity matrix, and I want to make a cluster
using R
for instance, this is the diss martix
> me <-matrix(scan("new.txt"),ncol=4,byrow=T)
0 1 7 20
1 0 8 18
7 8 0 12
20 18 12 0
> m <- as.dist(me) // distance matrix
> 1 2 3
> 1
> 7 8
> 20 18 12
> fit <- hclust(ddd, method="average")
> plot (fit)
until here its ok , but my question is if I use a dissimilarity cutoff of 3.0,
How can I do it
regards,
Faraz
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