On the similarity metric and the distance metric

  • Authors:
  • Shihyen Chen;Bin Ma;Kaizhong Zhang

  • Affiliations:
  • Department of Computer Science, The University of Western Ontario, London, Ontario, Canada, N6A 5B7;Department of Computer Science, The University of Western Ontario, London, Ontario, Canada, N6A 5B7;Department of Computer Science, The University of Western Ontario, London, Ontario, Canada, N6A 5B7

  • Venue:
  • Theoretical Computer Science
  • Year:
  • 2009

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Abstract

Similarity and dissimilarity measures are widely used in many research areas and applications. When a dissimilarity measure is used, it is normally required to be a distance metric. However, when a similarity measure is used, there is no formal requirement. In this article, we have three contributions. First, we give a formal definition of similarity metric. Second, we show the relationship between similarity metric and distance metric. Third, we present general solutions to normalize a given similarity metric or distance metric.