 
 
Dear Matthias,
So many thanks for your answer. Let me please to say I mean the SUM of dissimilarities. For example I want to compare the result of a clustering with k=4 with another clustering with k=5 . How is it possible to compare these two results ? What give us p$diss? ( a lot of dissimilarities).  We need only a single measure( sum of dissimilarities.apart of silhouette measure).
Thanks again.
Amir
 


TEMPL Matthias <Matthias.Templ@statistik.gv.at> wrote:
Hello,

#Example:

data(xclara)
p <- clara(xclara,3)
names(p)
p$diss

Best,
Matthias

> Dear All ,
> Since dissimilarity is one of quality measures in clustering 
> , I'm trying to access to the sum of dissimilarity as a whole 
> measure. But after running my data using CLARA I obtain : 
> 1128 dissimilarities, summarized :
> Min. 1st Qu. Median Mean 3rd Qu. Max. 
> 0.033155 0.934630 2.257000 2.941600 4.876600 8.943700 
> But I can not find the sum of dissimilarity.How can i access to it?
> 
> Thanks a lot
> Safari
> 
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