Hi Mauricio,
You can also use OPTICS in DBSCAN mode. The pull request is here if
you'd like to clone it:
https://github.com/scikit-learn/scikit-learn/pull/1984
Running ~40,000 points in three dimensions takes about a minute. See the
example page here for how to do the DBSCAN extraction:
https://github.com/espg/scikit-learn/blob/2eac9fbf67b2715e11fdedfbb63bcdb56a80e216/examples/cluster/plot_optics.py
Cheers,
Shane
On 05/17, Mauricio Reis wrote:
I'm not used to the terms used here. So I understood that the package had
memory management, which was removed. But you could make the code available
with memory management implementations. Is it?! :-)
The problem is that I do not know what I would do with the code, because I
only know how to work with the SciKitLearn package ready. :-(
Att.,
Mauricio Reis
2018-05-16 20:33 GMT-03:00 Joel Nothman <joel.noth...@gmail.com>:
Implemented in a previous version of #10280
<https://github.com/scikit-learn/scikit-learn/pull/10280>, but removed
for now to simplify reviews
<https://github.com/scikit-learn/scikit-learn/pull/10280#pullrequestreview-95622713>.
If others would like to review #10280, I'm happy to follow up with the
changes requested here, which have already been implemented by Aman Dalmia
and myself.
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*Cooperative Institute for Research in Environmental Sciences (CIRES)*
*University of Colorado at Boulder*
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