All the functionality is provided through the mixin at
https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/cluster/_feature_agglomeration.py.
It can be similarly be mixed in to any clusterer that produces the labels_
attribute.
On Tue, Aug 27, 2013 at 6:12 AM, Alexandre Gramfort <
[email protected]> wrote:
> hi Michal,
>
> Ward is used to cluster X.T (X transposed). The new features are then
> the clusters' means.
>
> see:
>
>
> https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/cluster/hierarchical.py#L407
>
> HTH
> Alex
>
> On Mon, Aug 26, 2013 at 7:20 PM, Michal Romaniuk
> <[email protected]> wrote:
> > Hi,
> >
> > I'm trying to figure out this example:
> >
> http://scikit-learn.org/stable/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection.html#example-cluster-plot-feature-agglomeration-vs-univariate-selection-py
> >
> > I've looked at hierarchical.py and WardAgglomeration seems to just
> > return a Ward object. I wonder where the agglomeration behaviour comes
> > from? There is the file _feature_agglomeration.py that defines the
> > functionality but I can't see how Ward uses it.
> >
> > Thanks,
> > Michal
> >
> >
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