There was a PR here:
https://github.com/scikit-learn/scikit-learn/pull/5530

but it didn't seem to work. Feel free to convince us otherwise ;)


On 03/02/2017 08:23 PM, SHUBHAM BHARDWAJ 15BCE0704 wrote:
Hello Sir,
Very Sorry for the numbers I saw this written in the comments.I assumed -Given the person who suggested the paper might have taken a look into the number of citations.I will make sure to personally check myself.

Regards
Shubham Bhardwaj

On Fri, Mar 3, 2017 at 6:40 AM, Guillaume LemaĆ®tre <[email protected] <mailto:[email protected]>> wrote:

    I think that you mean this paper -> Scalable K-Means++ -> 218
    citations

    On 3 March 2017 at 02:00, SHUBHAM BHARDWAJ 15BCE0704
    <[email protected]
    <mailto:[email protected]>> wrote:

        Hello Sir,

        Thanks a lot for the reply. Sorry for not being elaborate
        about what I was trying to address. I wanted to implement this
        [http://ilpubs.stanford.edu:8090/778/1/2006-13.pdf
        <http://ilpubs.stanford.edu:8090/778/1/2006-13.pdf>]
        (1200+citations)- mentioned in comments. This pertains to the
        stalled issue #4357 .Proposal idea - implementing a scalable
        kmeans++.

        Regards
        Shubham Bhardwaj

        On Fri, Mar 3, 2017 at 12:01 AM, Jacob Schreiber
        <[email protected] <mailto:[email protected]>> wrote:

            Hi Shubham

            Thanks for your interest. I'm eager to see your
            contributions to sklearn in the future. However, I'm
            pretty sure kmeans++ is already implemented:
            
http://scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html
            
<http://scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html>

            Jacob

            On Thu, Mar 2, 2017 at 1:07 AM, SHUBHAM BHARDWAJ 15BCE0704
            <[email protected]
            <mailto:[email protected]>> wrote:

                Hello Sir,

                My introduction :
                I am a 2nd year student studying Computer Science and
                engineering from VIT, Vellore. I work in Google
                Developers Group VIT. All my experience has been about
                collaborating with a lot of people ,working as a team,
                building products and learning along the way.
                Since scikit-learn is participating this time I am too
                planning to submit a proposal.

                Proposal idea:
                I am really interested in implementing kmeans++
                algorithm.I was doing some work on DT but I found this
                very appealing. Just wanted to know if it can be a
                good project idea.

                Regards
                Shubham Bhardwaj

                _______________________________________________
                scikit-learn mailing list
                [email protected] <mailto:[email protected]>
                https://mail.python.org/mailman/listinfo/scikit-learn
                <https://mail.python.org/mailman/listinfo/scikit-learn>



            _______________________________________________
            scikit-learn mailing list
            [email protected] <mailto:[email protected]>
            https://mail.python.org/mailman/listinfo/scikit-learn
            <https://mail.python.org/mailman/listinfo/scikit-learn>



        _______________________________________________
        scikit-learn mailing list
        [email protected] <mailto:[email protected]>
        https://mail.python.org/mailman/listinfo/scikit-learn
        <https://mail.python.org/mailman/listinfo/scikit-learn>




-- Guillaume Lemaitre
    INRIA Saclay - Ile-de-France
    Equipe PARIETAL
    [email protected] <mailto:[email protected]>r
    --- https://glemaitre.github.io/

    _______________________________________________
    scikit-learn mailing list
    [email protected] <mailto:[email protected]>
    https://mail.python.org/mailman/listinfo/scikit-learn
    <https://mail.python.org/mailman/listinfo/scikit-learn>




_______________________________________________
scikit-learn mailing list
[email protected]
https://mail.python.org/mailman/listinfo/scikit-learn

_______________________________________________
scikit-learn mailing list
[email protected]
https://mail.python.org/mailman/listinfo/scikit-learn

Reply via email to