> what are the data samples in this cluster
Mehmet's response below works for exploring the hierarchical tree.
However, Birch currently doesn't store the data samples that belong to a
given subcluster. If you need that, as far as I know, a reasonable
approximation can be obtained by computing the data samples that are
closest to the centroid of the considered subcluster (accessible via
_CFNode.centroids_) as compared to all other subcluster centroids at
this hierarchical tree depth.
Alternatively, the modifications in PR
https://github.com/scikit-learn/scikit-learn/pull/8808 aimed to make
this process easier..
--
Roman
On 23/08/17 13:44, Suzen, Mehmet wrote:
Hi Sema,
You can access CFNode from the fit output, assign fit output, so you
can have the object.
brc_fit = brc.fit(X)
brc_fit_cfnode = brc_fit.root_
<sklearn.cluster.birch._CFNode object at 0x7ff31acbf668>
Then you can access CFNode, see here
https://kite.com/docs/python/sklearn.cluster.birch._CFNode
Also, this example comparing mini batch kmeans.
http://scikit-learn.org/stable/auto_examples/cluster/plot_birch_vs_minibatchkmeans.html
Hope this was what you are after.
Best,
Mehmet
On 23 August 2017 at 10:55, Sema Atasever <s.atase...@gmail.com> wrote:
Dear scikit-learn members,
Considering the "CF-tree" data structure :
- How can i access Clustering Feature Tree in Birch?
- For example, how many clusters are there in the hierarchy under the root
node and what are the data samples in this cluster?
- Can I get them separately for 3 trees?
Best.
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