Javadoc
Learns Gaussian RBF function and centers from data. The centers are
chosen as the medoids of CLARANS. Let dmax be the maximum
distance between the chosen centers, the standard deviation (i.e. width)
of Gaussian radial basis function is dmax / sqrt(2*k), where
k is number of centers. In this way, the radial basis functions are not
too peaked or too flat. This choice would be close to the optimal
solution if the data were uniformly distributed in the input space,
leading to a uniform distribution of medoids.