Hi.
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
have already.
Btw, adding a new algorithm to scikit-learn is probably not a good idea
for a first contribution, see
http://scikit-learn.org/dev/faq.html#how-can-i-contribute-to-scikit-learn
Andy
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
implementations
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:
https://www.sciencedirect.com/science/article/pii/S0169023X06000218
<https://www.sciencedirect.com/science/article/pii/S0169023X06000218>
Thanks,
Manmohit
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