There are lots! eg: Mclust or EMCluster and many more. Ranjan
On Thu, 9 Oct 2014 10:37:45 +0200 Alexandra Posekany <alexandra.posek...@gmail.com> wrote: > Hey everybody, > I am looking for a R implementation of uni- and multivariate GMM clustering > which is both fast and can provide me with estimates of the respective > components' means and covariance matrices, not just the observations' > labels for the components which I am not interested in. As it is meant as > part of a larger algorithm and supposed to be the initialisation of another > GMM based method which should work efficiently, Bayesian Gibbs sampling > based methods are unfortunately not an option. > Thanks for sharing your experience! > Best, > Alex > > [[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. ____________________________________________________________ FREE 3D MARINE AQUARIUM SCREENSAVER - Watch dolphins, sharks & orcas on your desktop! ______________________________________________ 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.
