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.
