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From Stefan Wienert <ste...@wienert.cc>
Subject Re: Need a little help with SVD / Dimensional Reduction
Date Mon, 06 Jun 2011 11:44:16 GMT
https://cwiki.apache.org/confluence/display/MAHOUT/Dimensional+Reduction

the last step is the matrix multiplication:
  --arg --numRowsA --arg 20444 \
  --arg --numColsA --arg 6076937 \
  --arg --numRowsB --arg 20444 \
  --arg --numColsB --arg 87 \
so the result is a 6,076,937 x 87 matrix

the input has 6,076,937 (each with 20,444 terms). so the result of
matrix multiplication has to be the right singular value regarding to
the dimensions.

so the result is the "concept-document vector matrix" (as I think,
these is also called "document vectors" ?)

2011/6/6 Ted Dunning <ted.dunning@gmail.com>:
> Yes.  These are term vectors, not document vectors.
>
> There is an additional step that can be run to produce document vectors.
>
> On Sun, Jun 5, 2011 at 1:16 PM, Stefan Wienert <stefan@wienert.cc> wrote:
>
>> compared to SVD, is the result is the "right singular value"?
>>
>



-- 
Stefan Wienert

http://www.wienert.cc
stefan@wienert.cc

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