human: Given a node-centered hypergraph: <hypergraph>, where nodes represent authors and hyperedges represent groups of authors who co-authored the same paper.

Details of the hypergraph:
Center node: "Recent developments in clustering algorithms."
  Abstract: In this paper, we give a short review of recent developments in clustering. We shortly summarize important clustering paradigms before addressing important topics including metric adaptation in clustering, dealing with non-Euclidean data or large data sets, clustering evaluation, and learning theoretical foundations.

Connected through hyperedge HE-1 (induced by source paper "Fast and Accurate k-means For Large Datasets"):
  with members:
    - "Entropy based nearest neighbor search in high dimensions"

Question: Please tell me which research area the center author belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science