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 "near optimal lp rounding algorithm for correlation clustering on complete and complete k partite graphs"):
  Abstract: We give new rounding schemes for the standard linear programming relaxation of the correlation clustering problem, achieving approximation factors almost matching the integrality gaps: #R##N#- For complete graphs our appoximation is $2.06 - \varepsilon$ for a fixed constant $\varepsilon$, which almost matches the previously known integrality gap of $2$. #R##N#- For complete $k$-partite graphs our approximation is $3$. We also show a matching integrality gap. #R##N#- For complete graphs with edge weights satisfying triangle inequalities and probability constraints, our approximation is $1.5$, and we show an integrality gap of $1.2$. #R##N#Our results improve a long line of work on approximation algorithms for correlation clustering in complete graphs, previously culminating in a ratio of $2.5$ for the complete case by Ailon, Charikar and Newman (JACM'08). In the weighted complete case satisfying triangle inequalities and probability constraints, the same authors give a $2$-approximation; for the bipartite case, Ailon, Avigdor-Elgrabli, Liberty and van Zuylen give a $4$-approximation (SICOMP'12).

Includes members:
  Member "correlation clustering with noisy partial information":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "robust clustering oracle and local reconstructor of cluster structure of graphs")
  Member "online correlation clustering":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "end to end entity resolution for big data a survey")
  Member "linear time approximation schemes for the gale berlekamp game and related minimization problems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "limits of csp problems and efficient parameter testing")
  Member "a note on the inapproximability of correlation clustering":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "performance measures and a data set for multi target multi camera tracking")

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)