Deterministic coresets for k-means of big

HIGHLIGHTS

• who: KMeans et al. from the (UNIVERSITY) have published the research work: Deterministic Coresets for k-Means of Big, in the Journal: (JOURNAL)
• what: In the experimental results the authors evaluate this approach instead of computing the optimal k-means during the coreset construction and on the resulting coreset itself. Computing the k-means of a weighted set P is the main motivation of this paper. The authors compare the clustering with existing coresets and small/medium/large datasets. The authors evaluate both the offline computation and the streaming data model.
• how: For . . .
  

   

  

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