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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