Isn't the normal way to do this to collect additional independent variables as part of your test protocol? -- Sent from my phone. Please excuse my brevity.
On April 24, 2016 10:39:06 AM PDT, Devesh Raj Singh <raj.deves...@gmail.com> wrote: >Hi, > >I have a multidimensional data-set( multiple 'x' variables with a >target >variable). I want to take it to a higher dimensional space so that I >can >apply classification technique with ease . Is there a package in R >which >would allow me to take these data points from lower dimensional space >to >higher dimensions? so that is that higher dimension I can apply >classification techniques to be effective. My datapoints are highly >inseperable in lower dimension so i want to take the data points to >higher >dimension where they can be separable( something similar to kernel >trick) > >-- >Warm regards, >Devesh. > > [[alternative HTML version deleted]] > >______________________________________________ >R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >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. [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.