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A Sampling-Based Approach for Discovering Subspace Clusters.

Sandy MoensBoris CuleBart Goethals
Published in: DS (2019)
Keyphrases
  • subspace clusters
  • subspace clustering
  • arbitrarily oriented
  • subspace projection
  • random sampling
  • high dimensional data
  • sample size
  • neural network
  • image data
  • lower dimensional
  • frequent itemset mining
  • itemset mining