> 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
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_
Then you can access CFNode, see here
https://kite.com/docs/python/sklearn.cluster.birch._CFNode
Also, this example comparing mini batch kmeans.
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?
