x_x wrote: > 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
Dear x_x, you are confusing unsupervised learning/clustering with supervised learning/classification, I fear. Please ask your teacher/supervisor for getting the terminology right. Please note that it is good practice to sign e-mail messages with your real name. Best, Uwe Ligges ______________________________________________ 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.
