Path Based Hierarchical Clustering on Knowledge Graphs
  Knowledge graphs have emerged as a widely adopted medium for storing
relational data, making methods for automatically reasoning with them highly
desirable. In this paper, we present a novel approach for inducing a hierarchy
of subject clusters, building upon our earlier work done in taxonomy induction.
Our method first constructs a tag hierarchy before assigning subjects to
clusters on this hierarchy. We quantitatively demonstrate our method's ability
to induce a coherent cluster hierarchy on three real-world datasets.
