Hello Taak, I don't believe that this can be done. What you are asking for is essentially a constrained k-means algorithm with the constraint that regardless of the consequences (higher within sum or squares), you restrict each of the K groups to have at least N observations: within this constraint, you would like to minimize the WSS. You have to redevelop the k-means algorithm and rewrite the appropriate code as needed.
It appears that you may have a specific application for which you need this particular set-up. Do you really need to use k-means for this clustering? Many thanks, Ranjan On Sun, 29 Dec 2013 19:57:56 +0900 Takatsugu Kobayashi <taquito2...@gmail.com> wrote: > Hi Rusers, > > This is a simple question, but I cannot find an answer to it yet. > I am currently running kmeans with a constraint that each cluster has at > least an N observations. I look at Kmeans and thought "nstart" is the one, > but it didn't work. > > Could you please let me know if there are other packages that will do this? > > Thank you so much. > > Best, > > Taak > > [[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. > -- Important Notice: This mailbox is ignored: e-mails are set to be deleted on receipt. Please respond to the mailing list if appropriate. For those needing to send personal or professional e-mail, please use appropriate addresses. ____________________________________________________________ TRY FREE IM TOOLPACK at http://www.imtoolpack.com/default.aspx?rc=if5 Capture screenshots, upload images, edit and send them to your friends through IMs, post on Twitter®, Facebook®, MySpace™, LinkedIn® – FAST! ______________________________________________ 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.
