Self-Organizing Map (SOM) clustering for harmonized data

This function performs Self-Organizing Map (SOM) clustering on the harmonized training data. It uses the `som` package to create a SOM model and returns the clustering results.

Usage

cluster.som(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 SOM clustering results added to the cluster.result slot.