Stratified Space Learning: Reconstructing Embedded Graphs

27 Sep 2019 Bokor Yossi Grixti-Cheng Daniel Hegland Markus Roberts Stephen Turner Katharine

Many data-rich industries are interested in the efficient discovery and modelling of structures underlying large data sets, as it allows for the fast triage and dimension reduction of large volumes of data embedded in high dimensional spaces. The modelling of these underlying structures is also beneficial for the creation of simulated data that better represents real data... (read more)

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Categories


  • ALGEBRAIC TOPOLOGY
  • COMPUTATIONAL GEOMETRY
  • GEOMETRIC TOPOLOGY