It performs model based clustering for circualr, spherical and hyperspherical data assuming von Mises-Fisher 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 k-means, but on s imple k-means. 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 log-likelihood. |

`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 Mises-Fisher Distributions http://cran.r-project.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.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.