Hi Sebastian.
Have you seen this used much recently? How does it compare against
DBSCAN, BIRCH, OPTICS or just KMeans?
Cheers,
Andy
On 07/31/2015 10:28 AM, Sebastián Palacio wrote:
Hello all,
I've been investigating clustering algorithms with special interest in
non-parametric methods and, one that is being mentioned quite often is
DBCLASD [1]. I've looked around but I haven't been able to find one single
implementation of this algorithm whatsoever so I decided to implement my
own.
My first running version is already on GitHub:https://goo.gl/V4HOVH
I tried to make it as simple as possible for anyone to run it: it's all
written in Python, requires only "standard" python packages (numpy,
scikit-learn, scipy and matplotlib) and it comes with a main routine that
runs an example.
I would really appreciate some feedback from the community, regarding the
correctness of this implementation (if you happen to have some experience
with the algorithm) and perhaps a discussion about how useful this
algorithm may be in order to decide whether it makes sense to integrate it
into a future version of scikit-learn or not. Thanks in advance for your
time :-)
Regards,
Sebastian
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