ini_kmeans: Run a k-means algorithm to initialise clusters' allocation

In ArthurLeroy/MagmaClustR: Clustering and Prediction using Multi-Task Gaussian Processes with Common Mean

Run a k-means algorithm to initialise clusters' allocation

Description

Run a k-means algorithm to initialise clusters' allocation

Usage

ini_kmeans(data, k, nstart = 50, summary = FALSE)

Arguments

data	A tibble containing common Input and associated Output values to cluster.
k	A number of clusters assumed for running the kmeans algorithm.
nstart	A number, indicating how many re-starts of kmeans are set.
summary	A boolean, indicating whether we want an outcome summary

Value

A tibble containing the initial clustering obtained through kmeans.

Examples

TRUE

ArthurLeroy/MagmaClustR documentation built on Dec. 24, 2024, 11:18 a.m.