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The Curse of Dimensionality

  • Data in only one dimension is relatively packed
  • Adding a dimension “stretch” the points across that dimension, making them further apart
  • Adding more dimensions will make the points further apart—high dimensional data is extremely sparse
  • Distance measure becomes meaningless—due to equi-distance

Speaker notes:

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graphs adapted from Parsons et al. KDD Explorations 2004