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Get denormalized k-Means centroids
my problem is the following. I read a database, and then I normalize all attributes because they are not in the same scale.
For this modified example set I run a k-Means clustering and I get the cluster labeled example set and the centroid table.
But the centroids are also normalized, so I can't use them to characterize the original clusters. The "De-normalize" operator
works just for ExampleSets, and not for ClusterModel.
What can I do to get the centroids so that the attributes are in their original scales?