Local intrinsic dimensionality, entropy and statistical divergences

HIGHLIGHTS

  • who: James Bailey and colleagues from the School of Computing and Information Systems, The University of Melbourne, Melbourne, VIC, Australia have published the research work: Local Intrinsic Dimensionality, Entropy and Statistical Divergences, in the Journal: Entropy 2022, 24, 1220. of /2022/
  • what: The authors explore the connection of LID to other well known measures for complexity assessment and comparison namely and distances or In an asymptotic context the authors develop analytical new expressions for these quantities in terms of LID. The authors show that it is possible to leverage properties that arise from LID based . . .

     

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