Dear All, I'm currently doing a project about unsupervised learning, and I'll be using R to analyse a few network traffic datasets downloaded off Andrew Moore's website (http://www.cl.cam.ac.uk/Research/SRG/netos/nprobe/data/papers/sigmetrics/index.html).
Could anyone shed some light on how to build a classifier from the training set A, and then use a validation set B to assess the performance of the classifier? I'm able to group these datasets into groups using hclust() and kmeans() etc., but I don't see the connection between the clustered dataset A and the remaining sets. Any thoughts would be much appreciated! Yours sincerely, x_x -- View this message in context: http://www.nabble.com/Cluster-Analysis%3Abuild-a-classifier--tf4858425.html#a13903095 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.
