Dear Roman, When I try the code with the original data (*data.dat*) as you suggested, I get the following error : *Memory Error* --> (*error.png*), how can i overcome this problem, thank you so much in advance. data.dat <https://drive.google.com/file/d/0B4rY6f4kvHeCYlpZOURKNnR0Q1k/view?usp=drive_web>
On Fri, Jun 30, 2017 at 5:42 PM, Roman Yurchak <rth.yurc...@gmail.com> wrote: > Hello Sema, > > On 30/06/17 17:14, Sema Atasever wrote: > >> I want to cluster them using Birch clustering algorithm. >> Does this method have 'precomputed' option. >> > > No it doesn't, see http://scikit-learn.org/stable > /modules/generated/sklearn.cluster.Birch.html so you would need to > provide it with the original features matrix (not the precomputed distance > matrix). Since your dataset is fairly small, there is no reason in > precomputing it anyway. > > I needed train an SVM on the centroids of the microclusters so >> *How can i get the centroids of the microclusters?* >> > > By "microclusters" do you mean sub-clusters? If you are interested in the > leaves subclusters see the Birch.subcluster_centers_ parameter. > > Otherwise if you want all the centroids in the hierarchy of subclusters, > you can browse the hierarchical tree via the Birch.root_ attribute then > look at _CFSubcluster.centroid_ for each subcluster. > > Hope this helps, > -- > Roman > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn >
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