[scikit-learn] scikit-learn Digest, Vol 55, Issue 5

[Maiia Bakhova]

Hello Julio,
Thanks for your feedback!
The Elbow method may produce plots with concavity changing from one point
to a next. It means that some points
must be removed from consideration, and my method takes care of this.
In addition the math is adapted for clustering procedure and much simpler.
This helps with efficiency and maintenance.
Best regards,
Mya

On Thu, Oct 22, 2020 at 9:04 AM <scikit-learn-request at python.org> wrote:

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> Today's Topics:
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>    1. Numeric version of Elbow method for finding an optimal
>       cluster number (Maiia Bakhova)
>    2. Re: Numeric version of Elbow method for finding an optimal
>       cluster number (Julio Antonio Soto)
>
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Wed, 21 Oct 2020 10:48:19 -0700
> From: Maiia Bakhova <myabakhova at gmail.com>
> To: scikit-learn at python.org
> Subject: [scikit-learn] Numeric version of Elbow method for finding an
>         optimal cluster number
> Message-ID:
>         <
> CAC7JaAoY0Ub8zKUa0A_w0aUJCV5vG4M4FBtTNH1N-EXP-4se0w at mail.gmail.com>
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> Hello,
> Sorry, this is not about scikit-learn. It is my method which I once offered
> here, and was told that
> it is too easy to code. Since then I have been talking to other people and
> learn that linguists
> do not understand enough math to work it out, and even people who are good
> at math would prefer
> a ready script. I wrote one and would like to share.
> I did a numeric implementation of the Elbow method for calculating the
> optimal cluster number. I will appecuat it greatly if you show my work here
> and people would give me feedback on it.
> https://github.com/Mathemilda/Numeric_ElbowMethod_For_K-means
> Best,
> Mya
> --
> Maiia Bakhova
> Mathematician in Data Science
> http://myabakhova.blogspot.com
> https://www.linkedin.com/in/myabakhova
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> Message: 2
> Date: Wed, 21 Oct 2020 19:53:08 +0200
> From: Julio Antonio Soto <julio at esbet.es>
> To: Scikit-learn mailing list <scikit-learn at python.org>
> Subject: Re: [scikit-learn] Numeric version of Elbow method for
>         finding an optimal cluster number
> Message-ID: <7A9722F4-43EB-40C2-8CFC-E7236F6ECBE3 at esbet.es>
> Content-Type: text/plain; charset="utf-8"
>
> Hi Mya,
>
> To me, it looks very similar to the kneed library:
> https://github.com/arvkevi/kneed
>
> Best regards
>
>
> > El 21 oct 2020, a las 19:48, Maiia Bakhova <myabakhova at gmail.com>
> escribi?:
> >
> > ?
> > Hello,
> > Sorry, this is not about scikit-learn. It is my method which I once
> offered here, and was told that
> > it is too easy to code. Since then I have been talking to other people
> and learn that linguists
> > do not understand enough math to work it out, and even people who are
> good at math would prefer
> > a ready script. I wrote one and would like to share.
> > I did a numeric implementation of the Elbow method for calculating the
> optimal cluster number. I will appecuat it greatly if you show my work here
> and people would give me feedback on it.
> > https://github.com/Mathemilda/Numeric_ElbowMethod_For_K-means
> > Best,
> > Mya
> > --
> > Maiia Bakhova
> > Mathematician in Data Science
> > http://myabakhova.blogspot.com
> > https://www.linkedin.com/in/myabakhova
> >
> > _______________________________________________
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> > scikit-learn at python.org
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> End of scikit-learn Digest, Vol 55, Issue 5
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-- 
Maiia Bakhova
Mathematician in Data Science
http://myabakhova.blogspot.com
https://www.linkedin.com/in/myabakhova
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