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Comparing with Semi-Supervised Clustering

  • Semi-supervised clustering: User provides a training set consisting of “similar” (“must-link) and “dissimilar” (“cannot link”) pairs of objects
  • User-guided clustering: User specifies an attribute as a hint, and more relevant features are found for clustering

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