Hi Ulrich, I'm studying the principles of Affinity Propagation and I'm really glad to use your package (apcluster) in order to cluster my data. I have just an issue to solve..
If I apply the funcion: apcluster(sim) where sim is the matrix of dissimilarities, sometimes I encounter the warning message: "Algorithm did not converge. Turn on details and call plot() to monitor net similarity. Consider increasing maxits and convits, and, if oscillations occur also increasing damping factor lam." with too high number of clusters. I thought to solve the problem setting the argument "p" of the function apcluster() to mean(PreferenceRange(sim)): apcluster(sim, p=mean(preferenceRange(sim))) and actually it seems to be a good solution because I don't receive any warning message and the number of cluster is slower. Do you think it's a good solution? I submitt that I have to use apcluster() in an automatic procedure so I can't manipulate directly the arguments of the funcion. Thanks in advance. Giuseppe -- View this message in context: http://r.789695.n4.nabble.com/cluster-analysis-and-supervised-classification-an-alternative-to-knn1-tp2231656p2715278.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
