Hi Mukul, If you are talking about the steps of the algorithm, then Yihui answered your question.. If you are looking for visualizing the resulting clusters, there is the clustergram function: http://www.r-statistics.com/2010/06/clustergram-visualization-and-diagnostics-for-cluster-analysis-r-code/
----------------Contact Details:------------------------------------------------------- Contact me: tal.gal...@gmail.com | 972-52-7275845 Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) | www.r-statistics.com (English) ---------------------------------------------------------------------------------------------- On Tue, Jan 17, 2012 at 5:21 PM, Yihui Xie <x...@yihui.name> wrote: > You mean the process of clustering (the algorithm)? Have you looked at > kmeans.ani() in the animation package? > > Regards, > Yihui > -- > Yihui Xie <xieyi...@gmail.com> > Phone: 515-294-2465 Web: http://yihui.name > Department of Statistics, Iowa State University > 2215 Snedecor Hall, Ames, IA > > > > On Tue, Jan 17, 2012 at 2:48 AM, mukul purva <mukul.pu...@gmail.com> > wrote: > > hello, > > i want a visualization of the k-mean clustering.which one method > > will be best for visualization?? > > > > > > > > thnkx > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > R-help@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. > > ______________________________________________ > R-help@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. > [[alternative HTML version deleted]] ______________________________________________ R-help@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.
