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
On Thu, Apr 05, 2012 at 01:05:01PM -0700, Abhishek Pratap wrote:
Also in my case I dont really have a good approximate on value of K in
K-means.
That's a hard problem, for which I have no answer, sorry :$
G
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Hey Guys
I am new to both python and more so to numpy. I am trying to cluster
close to a 900K points using DBSCAN algo. My input is a list of ~900k
tuples each having two points (x,y) coordinates. I am converting them
to numpy array and passing them to pdist method of
scipy.spatial.distance for
On Wed, Apr 4, 2012 at 4:17 PM, Abhishek Pratap
close to a 900K points using DBSCAN algo. My input is a list of ~900k
tuples each having two points (x,y) coordinates. I am converting them
to numpy array and passing them to pdist method of
scipy.spatial.distance for calculating distance between
Thanks Chris. So I guess the question becomes how can I efficiently
cluster 1 million x,y coordinates.
-Abhi
On Wed, Apr 4, 2012 at 4:35 PM, Chris Barker chris.bar...@noaa.gov wrote:
On Wed, Apr 4, 2012 at 4:17 PM, Abhishek Pratap
close to a 900K points using DBSCAN algo. My input is a list of
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
