Dissimilarités multivoies et généralisations d'hypergraphes sans triangles

摘要

Multiway dissimilarities naturally generalize the usual two-way dissimilarities. In this paper, particular classes of multiway dissimilarities are studied as well as some models for deriving from a dissimilarity of a given number of ways, one of a greater or a lower number of ways. An application to clustering systems specification has led to a one-to-one correspondence between a class of multiway dissimilarities and a family of stratified clustering systems.