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A comparative analysis of DBSCAN, K-means, and quadratic variation algorithms for automatic identification of swallows from swallowing accelerometry signals.

Joshua M. DudikAtsuko KurosuJames L. CoyleErvin Sejdic
Published in: Comput. Biol. Medicine (2015)
Keyphrases
  • automatic identification
  • k means
  • data clustering
  • computational complexity
  • clustering algorithm
  • optical flow
  • signal processing
  • density based clustering