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.

Alex


On Sat, Sep 7, 2013 at 4:25 PM, Jacob Vanderplas
<jake...@cs.washington.edu> wrote:
> On Sat, Sep 7, 2013 at 5:21 AM, bthirion <bertrand.thir...@inria.fr> wrote:
>>
>> > I think single-linkage is what people are going to look for when they
>> > want a clustering algorithm. The fact that this is equivalent to
>> > finding an MST is an implementation detail (although it's still a good
>> > thing to have that in the docs, since it immediately evokes the
>> > complexity of MST algos to computer scientists).
>> +1
>
>
> I'm +1 on SingleLinkage as well.
>
> As I commented on the PR, the MST clustering algorithm is also known as
> "Friends of Friends" in some circles, but I think that's probably a less
> familiar name.  People may also search for this under the name Hierarchical
> Clustering -- that is, using multiple edge thresholds leads to a nested
> hierarchy of clusters.  To maximize usefulness, I think the docstring and
> narrative docs should mention the alternative names.
>
> Great work on this, Robert,
>    Jake
>
>
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