some bug fixes in formulas
MoG was working fine with last checkin, just needed to return the udpated centroids and allow the function to run until convergence
some bug fixes to ensure that MoG works for any value of K and any number of dimensions in the data.
(1) per Jay, iterate over the input to the reducer more than once so as to compute an exact distance within our cluster using the new centroid
(2) but fix for my average, was averaging with a count too high (count++ was in the wrong loop)
(3) now also outputting the number of documents within each cluster
bug fix for kmeans cost computation
first draft of code to normalize and keyify AS Names in facebook data
deduping names pretty well, may still need more deduping
now also de-duping if asname appears in name
updated test results per bug fixes