human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge groups authors who co-authored the same paper.

Details of the hypergraph:
Center hyperedge (induced by source paper "Computing Hierarchies of Clusters from the Euclidean Minimum Spanning Tree in Linear Time"):
  Abstract: A new hierarchical clustering method for point sets is presented, called diameter clustering, whose clusters belong to most other natural clusterings. For each cluster it holds that its diameter is small compared to the distance to a nearest point outside the cluster. Given a Euclidean minimum spanning tree of the input point set, it is shown that the diameter clustering can be computed in linear time. In addition we derive a nice property of this hierarchy which makes it particularly useful as a building block. It is shown in this paper that it can be employed to obtain a good approximation for the known single linkage clustering in roughly linear time. Other examples of its usefulness include computing the greedy triangulation, the complete linkage hierarchy, and a data structure for faster range queries.

Includes members:
  Member "The First Subquadratic Algorithm for Complete Linkage Clustering":
    also connected through other hyperedges:
      (none)

Question: Please tell me which research area the co-authored paper (i.e., the source paper of the center hyperedge) belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Mathematics