`init.Rd`

This function allows you to do variational Bayesian inference for Gaussian mixture.

init(X, K, init = F, verbose = T)

X | NxD data matrix |
---|---|

K | Number of mixture components |

init | Initialisation method (optional). If it is a vector, it is interpreted as the vector of initial cluster allocations. If it is a string, it is interpreted as the name of the clustering algorithm used for the initialisation (only "kmeans" and "random") available at the moment). |

verbose | Boolean flag which, if TRUE, prints the type of initialization |

Resp NxK matrix of responsibilities