Given a partition resulting from any clustering algorithm, the implemented tests allow valid post-clustering inference by testing if a given variable significantly separates two of the estimated clusters.
Methods are detailed in: Hivert B, Agniel D, Thiebaut R & Hejblum BP (2022).
"Post-clustering difference testing: valid inference and practical considerations",