Re: Sorting many small data sets

On Sun, Dec 14, 2008 at 02:00:37PM -0700, Chris Babcock wrote:
...
> Each record is only a about a dozen fields (~250 bytes each). There are
> about 15,000 records distributed over a dozen or so flat file
...
> for this Pr or better.'" Intuitively, hyperspace seems to be the most
> likely candidate because of the speed of learning and the small disk
> foot print. Each corpus will be very small, the documents small and
> fairly similar to begin with, and there will be 15,000+ classification
> files floating around at the end of it, which would be nice to keep for
> reducing future duplications. Is there a reasonable chance of this
> approach working given the obvious weaknesses in the quality of the
> data? 

choice of HS seems fine - works better with small amount of data, _growing_
cssfile size - I'd rather say the other way around: you've got a nice 
multiclass case, pls go ahead, try and report back how it goes ;)


-- 
paolo

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