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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 betwee...

You really do need ECC RAM, but for the naysayers: http://www.cs.toronto.edu/%7Ebianca/papers/sigmetrics09.pdf -- richard