[R] Does anyone knows a KMeans ++ package for R?

Kenneth Frost kfrost at wisc.edu
Wed Feb 29 16:04:15 CET 2012


I believe there is also an example of how to select initial values for k-means in Modern and Applied Statistics with S (Venables and Ripley).
Ken

On 02/29/12, Pascal Oettli   wrote:
> Dear Rui,
> 
> Did you have a look at 'pracma' package? There is a 'kmeanspp' function.
> 
> Best Regards,
> Pascal
> 
> 
> Le 29/02/2012 19:52, Rui Esteves a écrit :
> >Dear Pascal,
> >
> >>From Wikipedia:
> >
> >In applied statistics, k-means++ is an algorithm for choosing the
> >initial values (or "seeds") for the k-means clustering algorithm. It
> >was proposed in 2007 by David Arthur and Sergei Vassilvitskii, as an
> >approximation algorithm for the NP-hard k-means problem—a way of
> >avoiding the sometimes poor clusterings found by the standard k-means
> >algorithm.
> >
> >On Wed, Feb 29, 2012 at 11:33 AM, Pascal Oettli
> ><oettli at eps.s.u-tokyo.ac.jp>  wrote:
> >>Dear Rui,
> >>
> >>What "++" means?  There is kmeans in "stats" package.
> >>
> >>Best Regards,
> >>Pascal
> >>
> >>
> >>Le 29/02/2012 19:20, Rui Esteves a écrit :
> >>>
> >>>Dear all.
> >>>
> >>>I am searching for KMeans ++ for R. I cannot find it.
> >>>Do you know any package with it?
> >>>
> >>>Best regards,
> >>>Rui
> >>>
> >>>______________________________________________
> >>>R-help at r-project.org mailing list
> >>>https://stat.ethz.ch/mailman/listinfo/r-help
> >>>PLEASE do read the posting guide
> >>>http://www.R-project.org/posting-guide.html
> >>>and provide commented, minimal, self-contained, reproducible code.
> >>>
> >>>
> >>
> >
> >
> 
> -- 
> Dr. Pascal Oettli
> Project Research Associate
> Department of Earth and Planetary Science
> Graduate School of Science
> The University of Tokyo
> 
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.



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