How to select the best candidate or the key factors? Hierarchical topological clustering can help

Given a dataset collecting information on candidates to a position or on the influence of factors on a phenomenon, the best candidates and the key factors are outliers. Most clustering methods discard outliers as noise. How do we distinguish noise from meaningful outliers? See how our hierarchical topological clustering algorithms help
https://rdcu.be/e2L7C
https://doi.org/10.1007/s00500-025-11028-6