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 "parameterized algorithms for the 2 clustering problem with minimum sum and minimum sum of squares objective functions"):
  Abstract: In the Min-Sum 2-Clustering problem, we are given a graph and a parameter k, and the goal is to determine if there exists a 2-partition of the vertex set such that the total conflict number is at most k, where the conflict number of a vertex is the number of its non-neighbors in the same cluster and neighbors in the different cluster. The problem is equivalent to 2-Cluster Editing and 2-Correlation Clustering with an additional multiplicative factor two in the cost function. In this paper we show an algorithm for Min-Sum 2-Clustering with time complexity O(n?2.619r/(1?4r/n)+n3), where n is the number of vertices and r=k/n. Particularly, the time complexity is O?(2.619k/n) for k?o(n2) and polynomial for k?O(nlogn), which implies that the problem can be solved in subexponential time for k?o(n2). We also design a parameterized algorithm for a variant in which the cost is the sum of the squared conflict-numbers. For k?o(n3), the algorithm runs in subexponential O(n3?5.171?) time, where $\theta=\sqrt{k/n}$.

Includes members:
  Member "a ptas for the minimum consensus clustering problem with a fixed number of clusters":
    also connected through other hyperedges:
      (none)
  Member "correlation clustering with a fixed number of clusters":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "spectral clustering of signed graphs via matrix power means")

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)