[scikit-learn] Contributing ST-DBSCAN to the clustering module
t3kcit at gmail.com
Tue Apr 10 10:56:11 EDT 2018
It looks like the paper proposes two unrelated improvements, right?
We don't really include algorithms that are specific for time-series
data or spatio-temporal data.
How does the other improvement compare against hdbscan?
There is many many different clustering algorithms out there, and I
don't think we want to implement
all of them.
It's not entirely clear to me when this algorithm improves over what we
Btw, adding a new algorithm to scikit-learn is probably not a good idea
for a first contribution, see
On 04/08/2018 09:21 AM, Manmohit Rekhi wrote:
> Hi Everyone,
> This is my first open source contribution and I am really excited
> about scikit-learn
> I was reading a paper on ST-DBSCAN and found that there are no good
> of it online.
> Thought this could a good opportunity to contribute. Had a few
> questions before I started
> 1) Is there any problem with this algorithm being in scikit-learn?
> 2) Is there someone already working on this algorithms?
> 3) Any things i need to take care of while contributing(like code
> optimisation/libraries to be used)?
> link to the paper:
> scikit-learn mailing list
> scikit-learn at python.org
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