R help - Dec 2015 - Dendrogram for k-modes

Hi.
I have two question!
 
1) Is there any way to draw a dendrogram for k-modes?


I used klaR pacakges for kmodes analysis to deal with categorical variables.
 
i heard about the "Clustergram"
Url = {http://www.schonlau.net/clustergram.html}  
 
but i only found the example of Clustergram for K-means..'
 
2)How can I found the result of weighted k-modes? 
? 
?i did the cluster analysis with weighted kmodes(klaR packages)
like..
=================a<-kmodes(data, 5, TRUE)
================= 
What i want to see is not only the result of clustering but the result of
"weight for each attributes".
I found the code for
kmodes(https://github.com/cran/klaR/blob/master/R/kmodes.R#L124)
and below codes seems to save the weights for each attribute..
but i do not know exactly how to extract this result by adding another R
command...



  if(weighted){        ## compute the frequencies of each category for each
variable        weights <- vector("list", num_var)        for
(i in 1:num_var)             weights[[i]] <- table(data[,i])    } else { 
weights <- NULL    }
 
 
Thanks all!!

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Hi.
 
How can I found the specific outcome of weighted k-modes? 
? 
?i did the cluster analysis with weighted kmodes(klaR packages)
like..
=================a<-kmodes(data, 5, TRUE)
================= 
What i want to see is not only the result of clustering but the result of
"weight for each attributes".
I found the code for
kmodes(https://github.com/cran/klaR/blob/master/R/kmodes.R#L124)
and below codes seems to save the weights for each attribute..
but i do not know exactly how to extract this result by adding another R
command...
 
  if(weighted){        ## compute the frequencies of each category for each
variable        weights <- vector("list", num_var)        for
(i in 1:num_var)             weights[[i]] <- table(data[,i])    } else { 
weights <- NULL    }
 
 
Thanks all!!



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