Suppression Distance Computation for Hierarchical Clusterings

François Queyroi (1) , Sergey Kirgizov (1)

1 ComplexNetworks

We discuss the computation of a distance between two hierarchical clusterings of the same set. It is defined as the minimum number of elements that have to be removed so the remaining clusterings are equal. The problem of distance computing was extensively studied for partitions. We prove it can be solved in polynomial time in the case of hierarchies as it gives birth to a class of perfect graphs. We also propose an algorithm based on recursively computing maximum assignments.

Mots clés: clustering; hierarchical partition; distance; graphs; vertex cover

Domaines: Algorithme et structure de données [cs.DS]; Mathématique discrète [cs.DM]

François Queyroi, Sergey Kirgizov. Suppression Distance Computation for Hierarchical Clusterings. Information Processing Letters, 2015, 15 (9), pp.689-693. ⟨10.1016/j.ipl.2015.04.007⟩. ⟨hal-00996090v3⟩