No hurry imho
On May 12, 2014 2:55 PM, "Robert McGibbon" <notifications@github.com> wrote:

> In Mixtape/cluster/agglomerative.py:
>
> > +        return scipy.spatial.distance.cdist(XA, XB, metric)
> > +
> > +    nA, nB = len(XA), len(XB)
> > +    d = np.empty((nA, nB))
> > +    for i in range(nA):
> > +        d[i, :] = metric(XB, XA, i)
> > +    return d
> > +
> > +
> > +#-----------------------------------------------------------------------------
> > +# Main Code
> > +#-----------------------------------------------------------------------------
> > +
> > +
> > +class _LandmarkAgglomerative(BaseEstimator, ClusterMixin, TransformerMixin):
> > +    """Landmark-based agglomerative hierarchical clustering
>
> I looked for a while and didn't find anything. I will just describe it in
> detail here.
>
> —
> Reply to this email directly or view it on GitHub<https://github.com/rmcgibbo/mixtape/pull/136/files#r12547067>
> .
>