It performs model based clustering for circualr, spherical and hyperspherical data assuming von MisesFisher distributions.
1  mix.vmf(x, g)

x 
A matrix with the data expressed as unit vectors. 
g 
The number of groups to fit. It must be greater than or equal to 2. 
The initial step of the algorithm is not based on a spherical kmeans, but on s imple kmeans. The results are comparable to the package movMF.
A list including:
param 
A matrix with the mean direction, the concetrations parameter and mixing probability of each group. 
loglik 
The value of the maximised loglikelihood. 
pred 
The predicted group of each observation. 
runtime 
The run time of the algorithm. A numeric vector. The first element is the user time, the second element is the system time and the third element is the elapsed time. 
Michail Tsagris
R implementation and documentation: Michail Tsagris <mtsagris@yahoo.gr> and Giorgos Athineou <athineou@csd.uoc.gr>
Kurt Hornik and Bettina Grun (2014). movMF: An R Package for Fitting Mixtures of von MisesFisher Distributions http://cran.rproject.org/web/packages/movMF/vignettes/movMF.pdf
rmixvmf, bic.mixvmf, mixvmf.contour
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Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
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