Perhaps a multidimensional Bayesian classifier could find these spam/ham
groups on it's own. Each method for bypassing filters in a strange way
might
be easily discernable as a different cloud.
John Fenley
Good point, of course, many anti-spam content analysis type things collapse
measures made on a number of axes into one
metric. eg, spamassassin seems to turn the results of many local and
network tests into a single compact spam-score. This is throwing away some
information (?) Some way of preserving the "depth" of the "test-space"
might well give better discrimination... I'd guess you're right.
--
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