glc {RPMM}R Documentation

Gaussian Finite Mixture Model

Description

Fits a Gaussian mixture model for any number of classes

Usage

glc(Y, w, maxiter = 100, tol = 1e-06, weights = NULL, verbose = TRUE)

Arguments

Y Data matrix (n x j) on which to perform clustering
w Initial weight matrix (n x k) representing classification
maxiter Maximum number of EM iterations
tol Convergence tolerance
weights Case weights
verbose Verbose output?

Details

Typically not be called by user.

Value

A list of parameters representing mixture model fit, including posterior weights and log-likelihood


[Package RPMM version 1.05 Index]