It's not clear *why* you're doing this. The model will automatically
recluster the subclusters after identifying them, as long as you specify
either a number of clusters or a clustering model to the n_clusters
parameter. Can you fit this post-processing into that "final clustering"
framework?
On 8 February 2016 at 07:12, Dženan Softić <dzen...@gmail.com> wrote:
> Hi,
>
> I am doing some experiments with BIRCH. When BIRCH finish, I would like to
> merge subclusters based on some criteria. I am doing this this by calling
> "merge_subcluster" method on subcluster that I want to merge with, passing it
> subcluster object of the second cluster:
>
> cluster1.merge_subcluster(cluster2, self.threshold)
>
> It seems to work, since it updates correctly N, LS, SS (n_samples,
> linear_sum, squared_sum). What is left is to remove a merged subcluster
> (cluster2) from the subclusters list and to update centroids:
>
> ind = leaf.subclusters_.index(cluster1) #getting the index to update the
> centroid
> ind_remove = leaf.subclusters_.index(cluster2) #getting the index of a
> cluster that needs to be removed because it is merged
> leaf.init_centroids_[ind] = cluster1.centroid_ #update centroid
> leaf.init_sq_norm_[ind] = cluster1.sq_norm_
> leaf.centroids_ = np.delete(leaf.centroids_, ind_remove, 0) #removing the
> centroid of a cluster2
> self.root_.init_centroids_ = np.delete(self.root_.init_centroids_,
> ind_remove, 0) #removing the centroid from the root
> leaf.subclusters_.remove(cluster) #removing the cluster itself
>
> I am not sure I am doing it the right way. Any suggestion/comment would be
> very much appreciated.
>
> Thanks,
> Dzeno
>
>
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