k_means()
defines a model that fits clusters based on distances to a number
of centers.
Arguments
- mode
A single character string for the type of model. The only possible value for this model is "partition".
- engine
A single character string specifying what computational engine to use for fitting. Possible engines are listed below. The default for this model is
"stats"
.- num_clusters
Positive integer, number of clusters in model.
Examples
# Show all engines
modelenv::get_from_env("k_means")
#> # A tibble: 2 × 2
#> engine mode
#> <chr> <chr>
#> 1 stats partition
#> 2 ClusterR partition
k_means()
#> K Means Cluster Specification (partition)
#>
#> Computational engine: stats
#>