Batch-cluster several data sets

Usage

morie_cluster_batch(datasets, k = 2L, ...)

Arguments

datasets: A named list of data inputs.
k: Number of clusters (applied to each).
...: Passed to morie_cluster().

Value

A named list of morie_cluster objects.

Examples

x <- iris[1:4]
rownames(x) <- paste0("s", seq_len(nrow(x)))
morie_cluster_batch(list(a = x, b = x), k = 3)
#> $a
#> <morie_cluster> k=3  n=150
#>   sizes (largest first): 62, 50, 38 
#>   assignments (first rows):
#>  s1  s2  s3  s4  s5  s6  s7  s8  s9 s10 
#>   2   2   2   2   2   2   2   2   2   2 
#>   ... 140 more
#> 
#> $b
#> <morie_cluster> k=3  n=150
#>   sizes (largest first): 62, 50, 38 
#>   assignments (first rows):
#>  s1  s2  s3  s4  s5  s6  s7  s8  s9 s10 
#>   2   2   2   2   2   2   2   2   2   2 
#>   ... 140 more
#>