Ms Fleming,
This blog post (of mine) may be of interest and hopefully of help:
https://667-per-cm.net/2018/11/20/the-johnson-lindenstrauss-lemma-and-the-paradoxical-power-of-random-linear-operators-part-1/
Cheers!
--
Jan Galkowski (o°)
Westwood, MA
(pronouns: *he, him, his*)
*Keep your energy
Your multiplication description sounds more like matrix multiplication than
scalar multiplication. R supports matrix multiplication with the %*% operator.
I didn't follow the rest of your description... are you doing a homework
assignment? There is a no homework policy on this list...
On Decemb
Hello I was wondering if anyone could help. I am using R to perform random
projection on Gaussians.
I need to take k Gaussian random vectors U1,...,Uk in R(reals)
Then for any vector v in d dimensions, perform the random projection:
f(v) = v.U1, v.U2, ..., v.Uk which reduces v from d dimensions
On 3 Oct 2013, at 22:39, "Monaghan, David" wrote:
> I was wondering, has anyone has encountered an R package that performs random
> projection/random mapping? RP is a procedure that is akin to Principal
> Components Analysis in that it accomplishes dimensionality reduction, but is
> far more
Hello:
I was wondering, has anyone has encountered an R package that performs random
projection/random mapping? RP is a procedure that is akin to Principal
Components Analysis in that it accomplishes dimensionality reduction, but is
far more computationally efficient. I have been searching fo
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