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?
