On 12 July 2013 09:48, Lars Buitinck <[email protected]> wrote:
> 2013/7/11 Tom Fawcett <[email protected]>:
> [...]
>
> I guess because it's terribly slow. I recently tried to cluster a
> sample of Wikipedia text at the word level.
What kind of results did you get? I did some work recently clustering
short-form text and was generally unimpressed with the results.
I found that about 75% of
> the time was spent in MiniBatchKMeans.fit, while the rest of it was
> spent inside nltk.word_tokenize (!)
>
How does that compare to naively using Python's split()?
>
> --
> Lars Buitinck
> Scientific programmer, ILPS
> University of Amsterdam
>
>
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