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Dimensionality Reduction for k-Distance Applied to Persistent Homology.

Shreya AryaJean-Daniel BoissonnatKunal DuttaMartin Lotz
Published in: SoCG (2020)
Keyphrases
  • dimensionality reduction
  • principal component analysis
  • distance measure
  • persistent homology
  • machine learning
  • learning algorithm
  • similarity measure
  • object recognition
  • low dimensional