On 8 Apr 2013, at 23:21, Andy Cooper wrote:
> So, no one has direct experience running irlba on a data matrix as large as
> 500,000 x 1,000 or larger?
I haven't used irlba in production code, but ran a few benchmarks on much
smaller matrices. My impression was (also from the documentation, I
Cc: "r-help@R-project.org"
Sent: Monday, 8 April 2013, 20:31
Subject: Re: [R] SVD on very large data matrix
>
>
> Dear All,
>
> I need to perform a SVD on a very large data matrix, of dimension ~ 500,000 x
> 1,000 , and I am looking
> for an efficient algorithm th
On 08-04-2013, at 16:44, Andy Cooper wrote:
>
>
> Dear All,
>
> I need to perform a SVD on a very large data matrix, of dimension ~ 500,000 x
> 1,000 , and I am looking
> for an efficient algorithm that can perform an approximate (partial) SVD to
> extract on the order of the top 50
> right
Hi Andy,
On Mon, Apr 8, 2013 at 7:44 AM, Andy Cooper
wrote:
>
>
>
> Dear All,
>
> I need to perform a SVD on a very large data matrix, of dimension ~
500,000 x 1,000 , and I am looking
> for an efficient algorithm that can perform an approximate (partial) SVD
to extract on the order of the top 50
No answer, but first obvious question" Is the matrix sparse?
Next obvious question: what's your ram, OS, etc.
(Reply to list, as I can't help further).
-- Bert
On Mon, Apr 8, 2013 at 7:44 AM, Andy Cooper wrote:
>
>
> Dear All,
>
> I need to perform a SVD on a very large data matrix, of dimensio
Dear All,
I need to perform a SVD on a very large data matrix, of dimension ~ 500,000 x
1,000 , and I am looking
for an efficient algorithm that can perform an approximate (partial) SVD to
extract on the order of the top 50
right and left singular vectors.
Would be very grateful for any advic
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