THis is correct behavior (except for the typo where you say <<0 ... a radius should always be > 0)
The reason that this works out is that the prior should set the probability of a tiny cluster to be near zero. On Thu, Jun 16, 2011 at 11:05 AM, Vasil Vasilev (JIRA) <[email protected]>wrote: > 2. dNorm returns probability density, not probability, which means that for > the cases where radius << 0 and the number of dimensions of the feature > vectors is very big (~50000) the pdf goes quickly to infinity. >
