Thanks a lot, totally forgot cran there.
Hm.. so they're multiplying some specifically computed Kernelmatrix with the
pcv's.. interesting.. too tired to check the math there, guess i'll just accept
its possible and go to sleep.
Am 26.04.2012 um 18:10 schrieb Steve Lianoglou:
> Hi Jessica,
>
>
Hi Jessica,
On Thu, Apr 26, 2012 at 11:59 AM, Jessica Streicher
wrote:
> Hi!
>
> how do i get to the source code of kpca or even better predict.kpca(which it
> tells me doesn't exist but should) ?
Probably you have to do kernlab:::predict.kpca from your R workspace,
but why not just download th
Hi!
how do i get to the source code of kpca or even better predict.kpca(which it
tells me doesn't exist but should) ?
(And if anyone has too much time:
Now if i got that right, the @pcv attribute consists of the principal
components, and for kpca, these are defined as projections of some rando
3 matches
Mail list logo