Ups... I understand now about your comment before that Kmeans has problems to process one variable.
Thank you very much. Unung On Tue, 2004-05-11 at 21:40, TEMPL Matthias wrote: > Sorry, to solve your question I had tried: > > data(faithful) > kmeans(faithful[c(1:20),1],10) > Error: empty cluster: try a better set of initial centers > > But when I run this a second time it will be ok. > > > It seems, that kmeans has problems to initialize good starting points, because of > the random choose of these starting initial points. > With kmeans(data,k,centers=c(...) the problem can be solved. > Generally, the starting points can be choose equidistant on a hyperplane of the > data, which is also a simple way to get the intitial points > (www.fuzzyclustering.de , fc-package of Höppner, manual). > > > Thank you for your comment, > Matthias ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html