• Hierarchical clusterings of unweighted graphs 

      Høgemo, Svein; Paul, Christophe; Telle, Jan Arne (Journal article; Peer reviewed, 2020)
      We study the complexity of finding an optimal hierarchical clustering of an unweighted similarity graph under the recently introduced Dasgupta objective function. We introduce a proof technique, called the normalization ...
    • On Dasgupta’s Hierarchical Clustering Objective and Its Relation to Other Graph Parameters 

      Høgemo, Svein; Bergougnoux, Benjamin; Brandes, Ulrik; Paul, Christophe; Telle, Jan Arne (Journal article; Peer reviewed, 2021)
      The minimum height of vertex and edge partition trees are well-studied graph parameters known as, for instance, vertex and edge ranking number. While they are NP-hard to determine in general, linear-time algorithms exist ...
    • On the Linear MIM-width of Trees 

      Høgemo, Svein (Master thesis, 2019-06-26)
      Linear MIM-width, and its generalization MIM-width, is a graph width parameter that has become noted for having bounded value on several important graph classes, e.g. interval graphs and permutation graphs. The linear ...