Hi, Recently I wanted to use Dirichlet clustering algorithm to cluster vectors directly taken out of vectorized text, whose dimensionality was around 50000. In this situation the algorithm fails to calculate the pdf of a vector corresponding to cluster center due to problems with numerical precision during multiplication.
In this regard, what do you think of modifying the GaussianCluster.pdf() method in such way that it works with logarithmic probabilities? Regards, Vasil
