K-medoid-style Clustering Algorithms for Supervised Summary Generation

  title={K-medoid-style Clustering Algorithms for Supervised Summary Generation},
  author={Nidal M. Zeidat and Christoph F. Eick},
This paper centers on the discussion of k-medoid-style clustering algorithms for supervised summary generation. This task requires clustering techniques that identify class-uniform clusters. This paper investigates such a novel clustering technique we term supervised clustering. Our work focuses on the generalization of k-medoid-style clustering algorithms. We investigate two supervised clustering algorithms: SRIDHCR (Single Representative Insertion/Deletion Hill Climbing with Restart) and SPAM… CONTINUE READING

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