Compare SOM partitions with controlled cross-model references

Usage

compare_cross_models(
  partitions,
  cross_models,
  scope = c("analysis", "assessment", "all")
)

Arguments

partitions: A som_partitions object.
cross_models: A som_cross_models object.
scope: Compare analysis rows ("analysis"), assessment rows when available ("assessment") or all mapped rows ("all"). The analysis scope is the default for hard-partition defensibility; assessment scope is a separate mapping-transfer diagnostic.

Value

A som_cross_comparison containing ARI and AMI effect sizes, summaries, reference-fit success rates, source-partition completeness and source-partition provenance. Neither agreement metric is reported as accuracy.

Examples

data <- simulate_som_scenario("clusters", n = 45, p = 3, seed = 5)
specification <- som_spec(c(3, 2), seeds = 1:2, rlen = 10, k = 2)
ensemble <- fit_som_ensemble(data, specification, keep_models = FALSE)
partitions <- partition_som(ensemble)
references <- fit_cross_models(ensemble, methods = "ward")
compare_cross_models(partitions, references)
#> <som_cross_comparison>
#>   comparisons: 2 
#>   scope      : analysis 
#>   metrics    : ARI and AMI (agreement, not accuracy)