Displaying 2 results from an estimated 2 matches for "disrepencies".
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discrepencies
1997 Aug 14
1
Samba & Daylight savings time (was Re: Linux smbfs 2.0.29...)
> Date: Wed, 13 Aug 1997 12:52:21 -0700
> From: "Roeland M.J. Meyer" <rmeyer@mhsc.com>
> To: eknuds@extremenetworks.com
> Cc: "samba@arvidsjaur.anu.edu.au" <samba@arvidsjaur.anu.edu.au>
> Subject: Re: Linux smbfs 2.0.29...
> Message-ID: <3.0.2.32.19970813125221.009e0a70@pop.mhsc.com>
>
> At 04:45 AM 8/14/97 +0000, you wrote:
> >I
2002 Nov 17
1
SVD for reducing dimensions
...and far from sparse, although I
can adjust the sparseness by changing the bigram window. First question,
should I scale the counts? The angle is all that is really important, I'd
like 1,1,1,2 to be basically the same as 2,2,2,4, perhaps with that the
latter having more weight in resolving disrepencies.
Next is the job of reducing the matrix from 500 dimensions to say 10. I think
the correct way of doing this is using SVD, does that sound right? At least,
I have read a paper by Schuetze which used SVD. Other algorithms (K-means,
SOM) also sound applicable but may balk at the amount of data,...