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k-means operator in RapidMiner vs simplekmeans in weka
I am clustering my dataset using k-means on 2 tools:
rapid miner (k-means operator)
The results are very different. And the results form rapidMIner is infact the one I was looking for.
It will be very very helpful if anybody can answer my questions below:
1) What is different in weka's simplekmeans and rapidminer's k-means operator ?
2) Is there a way to know all the paramters used in rapidminer's k-means operator - so that I can replicate the same result on weka or any other tool ?
3) Is Max_runs (max number of runs of k-Means with random initialization that are performed) = seed in weka's simpleKMeans?
Thank you. I really appreciate your time.