Hi everyone I have a question about clustering. I've managed using CLARA to get a clustering analysis of a large data set. But now I want to find which is the right number of clusters.
The clara.object gives some information like the ratio between maximal and minimal dissimilarity that says (maybe if lower than 1??) if a cluster is well-separated from the other. I've also read something about silhouette and abut cluster.stats but can't manage to get how to find the right number of clusters. I've tried a suggestion from the mailing list but when using dist d1<-dist(mydata$sst) it says that "specified vector size is too big" Is there any method to find the right number of clusters when using clara? Maybe something I've tried but with a small and simple trick I can't find Thanks in advance -- _________________________ El ponent la mou, el llevant la plou Usuari Linux registrat: 363952 ------- Fotos: http://picasaweb.google.es/pacomet [[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.
