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Create an output table with clusters and included variables with similarity scores
groupbn.output.table(res, with.scores=TRUE)
gn object
if TRUE, similarity scores of every cluster member to the cluster center are added to the table
a table with one column per group, similarity scores to cluster centers are calculated for each variable
groupbn groupbn_refinement
groupbn
groupbn_refinement
# NOT RUN { data("wine.groupbn.refined") df<-groupbn.output.table(wine.groupbn.refined) # }
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