Given our intent to release 1.0 in the next future, I think we should
also make it clear in the wiki page that adding more and more
algorithms is not exactly the direction in which we are going to.
Maybe this is the opportunity to remove some of the old subjects from
2013 and instead add topics focusing on improvements of existing parts
of the project.

On 28 January 2014 15:33, Olivier Grisel <olivier.gri...@ensta.org> wrote:
> 2014/1/28 Olivier Grisel <olivier.gri...@ensta.org>:
>>
>>> As always, I think the rule of thumb for inclusion in scikit-learn should be
>>> that the algorithm is standard in the field and have a fairly high citation
>>> count. Is this the case for the algorithms you mention? What are the 2 or 3
>>> most famous LSH algorithms?
>>
>> The original FLANN paper is from 2009 and has 168 citations:
>>
>> http://citeseer.ist.psu.edu/showciting;jsessionid=444F2769597BBE3617FC3AF812E51FAD?doi=10.1.1.160.1721
>
> Actually Google found a lot more (698):
>
> http://scholar.google.fr/scholar?cites=6315457751882853913
>
> --
> Olivier
> http://twitter.com/ogrisel - http://github.com/ogrisel
>
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