Re: [R] visualization for k-mean clustering
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 wrote: > You mean the process of clustering (the algorithm)? Have you looked at > kmeans.ani() in the animation package? > > Regards, > Yihui > -- > Yihui Xie > 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 > 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.
Re: [R] visualization for k-mean clustering
You mean the process of clustering (the algorithm)? Have you looked at kmeans.ani() in the animation package? Regards, Yihui -- Yihui Xie 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 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.
Re: [R] visualization for k-mean clustering
Will depend heavily on the structure of your data (you haven't even told use te number of dimensions or the metric in question), but I'd suggest something like a scatterplot color coded by cluster with an additional marker for cluster means. Michael Weylandt On Jan 17, 2012, at 3:48 AM, mukul purva 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.
[R] visualization for k-mean clustering
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.
