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Replace missing values with average in each cluster
I'm new to Rapidminer and I would like to replace missing values based on clustering, which means I have used k-means on columns which have no missing values and divide the original exampleset into 5 clusters. Now I would like know how to replace each row's missing values by the averages of the cluster it belongs to instead of the averages of whole attributes. I can only find the way to do the latter by the operator [replace missing values].
Thank you very much.