>>>>> On Tue, 25 Sep 2007 20:16:05 -0400, >>>>> Wiebke Timm (WT) wrote:
> You might want to check if there is a neural gas algorithm in R. > kmeans generally has a high variance since it is very dependent on > the initialization. Neural gas overcomes this problem by using a > ranked list of neighbouring data points instead using data points > directly. It is more stable (at the cost of additional computational > time). Neural gas is in package flexclust on CRAN (one of the clustering methods function cclust() privides). I also find it more stable than kmeans for some data, although in general I agree with what has been said before in this thread: instability is in most cases caused by no clear cluster structure of the data, wrong number of clusters etc rather than by the wrong cluster algorithm. Best, -- ----------------------------------------------------------------------- Prof. Dr. Friedrich Leisch Institut für Statistik Tel: (+49 89) 2180 3165 Ludwig-Maximilians-Universität Fax: (+49 89) 2180 5308 Ludwigstraße 33 D-80539 München http://www.stat.uni-muenchen.de/~leisch ______________________________________________ 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.
