Hi all, I am doing some experiment studies...
It seems to me that with different combination of 5 parameters, the end results ultimately converged to two scalars. That's to say, some combinations of the 5 parameters lead to one end result and some other combinations of the 5 parameters lead to the other end result (scalar). I am thinking of this is sort of something like clustering or binary classification. If I could figure out what combinations of the 5 parameters lead to what type of end result, in the future, I will be able to predict or classify without doing the whole experiment, which is very time consuming... Could someone give me some recommendations about what might be the best stats model for doing this? And what might be the best stats tool for such task, and are these tools available in R? Thanks a lot! -- View this message in context: http://www.nabble.com/clustering-and-data-mining...-tp18765630p18765630.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
