ini_mixture: Mixture initialisation with kmeans

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

Mixture initialisation with kmeans

Description

Provide an initial kmeans allocation of the individuals/tasks in a dataset into a definite number of clusters, and return the associated mixture probabilities.

Usage

ini_mixture(data, k, name_clust = NULL, nstart = 50)

Arguments

data	A tibble or data frame. Required columns: ID, Input , Output.
k	A number, indicating the number of clusters.
name_clust	A vector of characters. Each element should correspond to the name of one cluster.
nstart	A number of restart used in the underlying kmeans algorithm

Value

A tibble indicating for each ID in which cluster it belongs after a kmeans initialisation.

Examples

TRUE

MagmaClustR documentation built on June 29, 2024, 1:06 a.m.