human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "fast hierarchical clustering and other applications of dynamic closest pairs"
  Abstract: We develop data structures for dynamic closest pair problems with arbitrary distance functions, that do not necessarily come from any geometric structure on the objects. Based on a technique previously used by the author for Euclidean closest pairs, we show how to insert and delete objects from an n-object set, maintaining the closest pair, in O(n log2 n) time per update and O(n) space. With quadratic space, we can instead use a quadtree-like structure to achieve an optimal time bound, O(n) per update. We apply these data structures to hierarchical clustering, greedy matching, and TSP heuristics, and discuss other potential applications in machine learning, Grobner bases, and local improvement algorithms for partition and placement problems. Experiments show our new methods to be faster in practice than previously used heuristics.

Connected through hyperedge HE-1 (induced by source paper "dynamic geometric data structures via shallow cuttings"):
  with members:
    - "dynamic planar voronoi diagrams for general distance functions and their algorithmic applications"
    - "faster fully dynamic minimum spanning forest"
    - "orthogonal range searching on the ram revisited"

Connected through hyperedge HE-2 (induced by source paper "fully dynamic hierarchical diameter k clustering and k center"):
  with members:
    - "the non uniform k center problem"
    - "clustering with diversity"

Connected through hyperedge HE-3 (induced by source paper "reactive proximity data structures for graphs"):
  with members:
    - "dynamic geometric data structures via shallow cuttings"
    - "better tradeoffs for exact distance oracles in planar graphs"
    - "crossing patterns in nonplanar road networks"
    - "defining equitable geographic districts in road networks via stable matching"
    - "dynamic planar voronoi diagrams for general distance functions and their algorithmic applications"
    - "treetopes and their graphs"
    - "going off road transversal complexity in road networks"
    - "all maximal independent sets and dynamic dominance for sparse graphs"

Connected through hyperedge HE-4 (induced by source paper "a wardpβ"):
  with members:
    - "deterministic initialization of the k means algorithm using hierarchical clustering"

Connected through hyperedge HE-5 (induced by source paper "customizable contraction hierarchies"):
  with members:
    - "graph bisection with pareto optimization"
    - "route planning in transportation networks"
    - "computing all pairs shortest paths by leveraging low treewidth"
    - "fast detour computation for ride sharing"

Connected through hyperedge HE-6 (induced by source paper "squarepants in a tree sum of subtree clustering and hyperbolic pants decomposition"):
  with members:
    - "pants decomposition of the punctured plane"
    - "the skip quadtree a simple dynamic data structure for multidimensional data"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.DS(Data Structures and Algorithms)