Re: [scikit-learn] Accessing Clustering Feature Tree in Birch

2017-10-03 Thread Sema Atasever
Hi Roman, Thank you for the detailed and informative answer. On Mon, Oct 2, 2017 at 12:14 PM, Roman Yurchak wrote: > Hello, > > sklearn.cluster.Birch follows the original BIRCH paper, that appears to be > mostly focused on efficiently building the hierarchical clustering tree > (and not so much

Re: [scikit-learn] Accessing Clustering Feature Tree in Birch

2017-10-02 Thread Roman Yurchak
Hello, sklearn.cluster.Birch follows the original BIRCH paper, that appears to be mostly focused on efficiently building the hierarchical clustering tree (and not so much on making the later analysis user friendly). The attributes exposed by Birch are those that could be reasonably exposed gi

Re: [scikit-learn] Accessing Clustering Feature Tree in Birch

2017-09-20 Thread Sema Atasever
I need this information to use it in a scientific study and I think that a function interface would make this easier. Thank you for your answer. On Sat, Sep 16, 2017 at 1:53 PM, Joel Nothman wrote: > There is no such thing as "the data samples in this cluster". The point of > Birch being online

Re: [scikit-learn] Accessing Clustering Feature Tree in Birch

2017-09-16 Thread Joel Nothman
There is no such thing as "the data samples in this cluster". The point of Birch being online is that it loses any reference to the individual samples that contributed to each node, but stores some statistics on their basis. Roman Yurchak has, however, offered a PR where, for the non-online case, s

Re: [scikit-learn] Accessing Clustering Feature Tree in Birch

2017-09-14 Thread Shane Grigsby
I'd be interested in hearing the answer to this as well, specifically if there's a standardized way in the API for dealing with nested hierarchical clusters (i.e., when 'b' and 'c' are child clusters totally contained within parent cluster 'a'). Perhaps there's a way to identify multiple clust

[scikit-learn] Accessing Clustering Feature Tree in Birch

2017-09-14 Thread Sema Atasever
Dear scikit-learn members, I have written about this subject before but I have not completely solved my question. - 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

Re: [scikit-learn] Accessing Clustering Feature Tree in Birch

2017-09-13 Thread Sema Atasever
Dear Roman, I tried to search through on the web but i didn't get any information or example. Could you give me an example of using _CFNode.centroids_? I would appreciate it if you would help me. On Wed, Aug 23, 2017 at 2:28 PM, Roman Yurchak wrote: > > what are the data samples in this clust

Re: [scikit-learn] Accessing Clustering Feature Tree in Birch

2017-08-23 Thread Roman Yurchak
> 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

Re: [scikit-learn] Accessing Clustering Feature Tree in Birch

2017-08-23 Thread Suzen, Mehmet
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.

[scikit-learn] Accessing Clustering Feature Tree in Birch

2017-08-23 Thread Sema Atasever
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?