Date: 07/20/05 (Algorithms)    Keywords: no keywords

I don't know much about machine learning, so here's what may be a basic question:

I have a program that generates a set of 8 numerical scores, and then needs to separate them into a low and a high group. Now what's low in one set may not be in another, so I'm using k-means right now (k=2) to separate them. However, this does not always separate the way I want it to, especially if the standard dev of the scores is not very high. So I'm wondering if some sort of Bayesian learning would help. Assuming I have a training dataset of about 60 score sets, would this be enough to construct a decision procedure for eight scores? And any other ideas on how to improve the classification? Thanks!

Source: http://www.livejournal.com/community/algorithms/60989.html