"Clustering in Rapidminer and R extension"

nav

Hello,

I am not new of rapidminer but I am new of R extension. I need to use R for calculate same statistics for the clustering output from rapidminer operator, but I don't now how to use the cluster set of rapidminer in the R script operator (I have already use the R export operatore). In particular what I want to do is for example:

- do different clustering with rapidminer operator
- apply some statics from R script to the example set of previous step, for example randIndex, silhuette, etc

But how can I use the example set of clustering in R.

Thanks in advance to all.

nav

Possible that none never had the need of using R to calculate any statistics from a cluster set generated by RapidMiner operator?

Unknown

Hello

I made a comment on my http://rapidminernotes.blogspot.com/2011/06/counting-clusters-part-r.html

The key part is the R needed

library(mclust)
library(profdpm)

## "data" is defined as the input in the inputs
## each column is referred to by name using $ 
## because the input is a data frame.
ARI = adjustedRandIndex(data$cluster1, data$cluster2)
ARI = as.data.frame(ARI)
pci=as.data.frame(t(pci(data$cluster1, data$cluster2)))


## using the variable ari sets the name of the returned data frame column 
## and avoids having to use a rename process
## "x" is the output defined in the results 
## it must be a data frame
x = as.data.frame(cbind(ARI,pci))

Andrew

nav

Thank you very much... you give me a very good starting point for my problem...