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From peng <pc...@uowmail.edu.au>
Subject Re: Does SSVD supports eigendecomposition of non-symmetric & non-positive-semidefinitive matrix better than Lanczos?
Date Wed, 12 Feb 2014 20:25:47 GMT
In PageRank I'm afraid I have no other option than eigenvector \lambda, 
but not singular vector u & v:) The PageRank in Mahout was removed with 
other graph-based algorithm.

On Tue 11 Feb 2014 06:34:17 PM EST, Ted Dunning wrote:
> SSVD is very probably better than Lanczos for any large decomposition.
>   That said, it does SVD, not eigen decomposition which means that the
> question of symmetrical matrices or positive definiteness doesn't much
> matter.
>
> Do you really need eigen-decomposition?
>
>
>
> On Tue, Feb 11, 2014 at 2:55 PM, peng <pc175@uowmail.edu.au> wrote:
>
>> Just asking for possible replacement of our Lanczos-based PageRank
>> implementation. - Peng
>>
>

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