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. > > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn > _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
