init: Initialize responisibility matrix

In acabassi/variational-ogc: Variational Outcome-Guided Clustering

Description

This function allows you to do variational Bayesian inference for Gaussian mixture. It is based on the MatLab code by Mo Chen ([e-mail]).

Usage

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

Arguments

X	NxD data matrix
K	Number of mixture components
labels_init	Initial cluster labels (if empty, use either k-means or randomly assigned labels)
kmeans_init	Boolean flag, which, if TRUE initializes the responsibilities with the output of the k-means algorithm
verbose	Boolean flag which, if TRUE, prints the type of initialization

Value

Resp NxK matrix of responsibilities

acabassi/variational-ogc documentation built on May 23, 2019, 2:45 p.m.