R help - Apr 2016 - How to take a multidimensional data set to higher dimensions using R?

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]]

Many:

https://cran.r-project.org/web/views/MachineLearning.html

-- Bert


Bert Gunter

"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Sun, Apr 24, 2016 at 10:39 AM, Devesh Raj Singh
<raj.devesh99 at 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 at 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.

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.devesh99 at
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 at 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]]