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Experiments: Compare CrossClus with

  • Baseline: Only use the user specified feature
  • PROCLUS [Aggarwal, et al. 99]: a state-of-the-art subspace clustering algorithm
    • Use a subset of features for each cluster
    • We convert relational database to a table by propositionalization
    • User-specified feature is forced to be used in every cluster
  • RDBC [Kirsten and Wrobel’00]
    • A representative ILP clustering algorithm
    • Use neighbor information of objects for clustering
    • User-specified feature is forced to be used

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