movMF_info: Extract meaningful information from the von Mises-Fisher...

In maotai: Tools for Matrix Algebra, Optimization and Inference

Extract meaningful information from the von Mises-Fisher mixture model

Description

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.

Usage

movMF_info(data, means, concentrations, weights)

Arguments

data	an (n\times d) data matrix.
means	an (k\times d) matrix of means.
concentrations	a vector of length k of concentration parameters.
weights	a vector of length k of mixing weights.

Value

a named list containing

densities

a vector of length n of the densities of the data points.

clustering

a vector of length n of the hard clustering results.

loglkd

the log-likelihood of the data.

AIC

the Akaike information criterion.

BIC

the Bayesian information criterion.

maotai documentation built on April 12, 2025, 2:10 a.m.