Persistent extensions and analogous bars: data-induced relations between persistence barcodes

HIGHLIGHTS

• who: Hee Rhang Yoon from the Mathematical Institute, University of Oxford, Woodstock Road, Oxford , GG, UK have published the research work: Persistent extensions and analogous bars: data-induced relations between persistence barcodes, in the Journal: (JOURNAL)
• what: The authors develop a pair of computational approaches for relating classes and barcodes: extension which enumerates potential between classes from two complexes built on the same vertex set and the method of analogous bars which utilizes extension and the built from a cross-dissimilarity measure to provide across systems. The authors provide an implementation of these methods and . . .
  

   

  

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