[Databionic-ESOM-User] Parameter Selection & ...More

[Michael D. J. <mic...@ya...>]

Dear Mario  & Fabian,
 
 
Thank you very much for your valuable comments and prompt response. I will implement your recommendations on an immediate basis.
 
 
I have one other request pertaining to the training using the Databionics ESOM tool. What are the actions one needs to take if with two *identical runs* (in terms of parameter selection, and training set) obtains a different end result in terms of the proximity/clustering of different instances to one another? (I am aware that the Visual Part might be different on each run but my expectation would be that that the underlying structural sorting of the instances should be the same. e.g. In Run 1, Instance "234" is surrounded by instances "456", "789" & "123". Shouldn't the same "234" instance be surrounded by the same "456", "789" & "123" instances in Run 2? )
 
 Is this a sign of non-convergence? Is this a sign of some other underlying process that I am not aware of? Is there a random component that I am not aware of?
 
Your comments and suggestion on this issue will be very much appreciated.
 
 
Regards,
Michael
 
 



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