2013/9/8 Gael Varoquaux <gael.varoqu...@normalesup.org>:
> On Sun, Sep 08, 2013 at 05:14:35PM +0200, Alexandre Gramfort wrote:
>> I would be in favor of a HierarchicalClustering object that supports
>> various linkage
>> criteria.
>
>> something like:
>
>> hc = HierarchicalClustering(linkage='single')
>
>> linkage='ward' would be another option.
>
> Yes, indeed. This is what I am working on in my branch. I was planning to
> try to merge this in with Ward, complete and average linkage, as single
> linkage is best implemented with a different algorithm (indeed, an MST).

Note: in Gael's branch this is implemented as
`AgglomerativeClustering` to be more specific as
`HierarchicalClustering` could also be based on divisive strategies
would might have a different family of hyper parameters.

> The branch still requires finishing work to get things like arbitrary
> metrics supported, as well as documentation, but the core of the work in
> done.
>
> https://github.com/scikit-learn/scikit-learn/pull/2199

Robert, could you have a look at this branch to better have an idea of
the overlap between this branch and your work and how much would it
benefit by reusing common datastructures / classes / utility
functions?

-- 
Olivier
http://twitter.com/ogrisel - http://github.com/ogrisel

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