Hi Gael The MemoryError exception I am getting is from using scikit's DBSCAN implementation. I can check mini-batch implementation of Kmeans.
Best, -Abhi On Wed, Apr 4, 2012 at 10:33 PM, Gael Varoquaux <gael.varoqu...@normalesup.org> wrote: > On Wed, Apr 04, 2012 at 04:41:51PM -0700, Abhishek Pratap wrote: >> Thanks Chris. So I guess the question becomes how can I efficiently >> cluster 1 million x,y coordinates. > > Did you try the scikit-learn's implementation of DBSCAN: > http://scikit-learn.org/stable/modules/clustering.html#dbscan > ? I am not sure that it scales, but it's worth trying. > > Alternatively, the best way to cluster massive datasets is to use the > mini-batch implementation of KMeans: > http://scikit-learn.org/stable/modules/clustering.html#mini-batch-k-means > > Hope this helps, > > Gael > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
