On 03/25/2012 11:20 PM, Gael Varoquaux wrote: > On Sun, Mar 25, 2012 at 10:51:36PM +0200, Gael Varoquaux wrote: > >>> - You should at least refer to GMMs, as this is the most popular >>> clustering framework that comes with a natural probabilistic setting >>> > >> Agreed. >> > Actually, on our various examples, it is impressive how much GMMs behave > similarly to K-means. Tweaking their parameters can force them to behave > differently, but it's a matter of parameter tweaking. > Without looking at the source, it could be that we initialize GMM with the result of KMeans. I read that if you do this, the GMM solution rarely changes. Instead, one should only run KMeans for one or two iterations and then use that as an initialization of KMeans.
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