K-means clustering for harmonized data

This function performs K-means clustering on the harmonized training data and returns the clustering results.

Usage

cluster.kmeans(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 k-means clustering results added to the cluster.result slot.