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) <jira@apache.org>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.
>
