Gaussian Mixture Model clustering for harmonized data

This function performs Gaussian Mixture Model (GMM) clustering on the harmonized training data using the `mclust` package.

Usage

cluster.mnm(object, k = NULL)

Arguments

object

A precision object containing harmonized training data in the slot harmon.train.data.

k

Integer. Number of clusters. If NULL or not given, uses the number of unique labels in training data.

Value

Updated precision object with Gaussian Mixture Model clustering results added to the cluster.result slot.