human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "clustering with local restrictions"):
  Abstract: We study a family of graph clustering problems where each cluster has to satisfy a certain local requirement. Formally, let $\mu$ be a function on the subsets of vertices of a graph $G$. In the $(\mu,p,q)$-PARTITION problem, the task is to find a partition of the vertices into clusters where each cluster $C$ satisfies the requirements that (1) at most $q$ edges leave $C$ and (2) $\mu(C)\le p$. Our first result shows that if $\mu$ is an {\em arbitrary} polynomial-time computable monotone function, then $(\mu,p,q)$-PARTITION can be solved in time $n^{O(q)}$, i.e., it is polynomial-time solvable {\em for every fixed $q$}. We study in detail three concrete functions $\mu$ (the number of vertices in the cluster, number of nonedges in the cluster, maximum number of non-neighbors a vertex has in the cluster), which correspond to natural clustering problems. For these functions, we show that $(\mu,p,q)$-PARTITION can be solved in time $2^{O(p)}\cdot n^{O(1)}$ and in time $2^{O(q)}\cdot n^{O(1)}$ on $n$-vertex graphs, i.e., the problem is fixed-parameter tractable parameterized by $p$ or by $q$.

Includes members:
  Member "approximation and tidying a problem kernel for s plex cluster vertex deletion":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "on adaptive algorithms for maximum matching")
  Member "fixed parameter tractability of multicut parameterized by the size of the cutset":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "the computational complexity of finding temporal paths under waiting time constraints")
  Member "online correlation clustering":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "end to end entity resolution for big data a survey")
  Member "almost 2 sat is fixed parameter tractable":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "minimum bounded chains and minimum homologous chains in embedded simplicial complexes")

Question: Please tell me which class the source paper 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)