init: Initialize responisibility matrix

In acabassi/vimix: Variational Inference for MIXture models

Description

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

Usage

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

acabassi/vimix documentation built on May 15, 2019, 10:36 p.m.