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 "comparing the performance of l a b and hsv color spaces with respect to color image segmentation"):
  Abstract: Color image segmentation is a very emerging topic for image processing research. Since it has the ability to present the result in a way that is much more close to the human eyes perceive, so today's more research is going on this area. Choosing a proper color space is a very important issue for color image segmentation process. Generally L*A*B* and HSV are the two frequently chosen color spaces. In this paper a comparative analysis is performed between these two color spaces with respect to color image segmentation. For measuring their performance, we consider the parameters: mse and psnr . It is found that HSV color space is performing better than L*A*B*.

Includes members:
  Member "a novel approach towards clustering based image segmentation":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "importance of image enhancement techniques in color image segmentation a comprehensive and comparative study")
  Member "effect of different distance measures on the performance of k means algorithm an experimental study in matlab":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "enhancing stratified graph sampling algorithms based on approximate degree distribution")
  Member "impact of exponent parameter value for the partition matrix on the performance of fuzzy c means algorithm":
    also connected through other hyperedges:
      (none)
  Member "clustering approach towards image segmentation an analytical study":
    also connected through other hyperedges:
      (none)
  Member "a comparative study between fuzzy clustering algorithm and hard clustering algorithm":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "importance of image enhancement techniques in color image segmentation a comprehensive and comparative study")

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.CV(Computer Vision and Pattern Recognition)