Initialize responisibility matrix

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

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

Arguments

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

Value

Resp NxK matrix of responsibilities