Given a mixture of von Mises-Fisher distributions, this function computes several related quantities of the data on the unit hypersphere with respect to the specified model.
movMF_info(data, means, concentrations, weights)a named list containing
a vector of length \(n\) of the densities of the data points.
a vector of length \(n\) of the hard clustering results.
the log-likelihood of the data.
the Akaike information criterion.
the Bayesian information criterion.
an \((n\times d)\) data matrix.
an \((k\times d)\) matrix of means.
a vector of length \(k\) of concentration parameters.
a vector of length \(k\) of mixing weights.