human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent groups of papers sharing a common citing paper.

Details of the hypergraph:
Center node: "Defining and Combining Symmetric and Asymmetric Similarity Measures"
  Abstract: In this paper, we present a framework for the definition of similarity measures using lattice-valued functions. We show their strengths (particularly for combining similarity measures). Then we investigate a particular instantiation of the framework, in which sets are used both to represent objects and to denote degrees of similarity. The paper con cludes by suggesting some generalisations of the findings.

Connected through hyperedge HE-1 (induced by source paper "PAC Analyses of a `Similarity Learning' IBL Algorithm"):
  with members:
    - "(1994); Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches. Case-Based Reasoning: Foundational Issues, Methodological"
    - "A Formal Analysis of Case Base Retrieval"

Question: Please tell me which class the center node belongs to. The 7 classes are: Neural_Networks, Reinforcement_Learning, Probabilistic_Methods, Theory, Genetic_Algorithms, Case_Based, Rule_Learning. Directly output the class name.

gpt: Case_Based