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TopoMap: A 0-dimensional Homology Preserving Projection of
  High-Dimensional Data

TopoMap: A 0-dimensional Homology Preserving Projection of High-Dimensional Data

3 September 2020
Harish Doraiswamy
Julien Tierny
Paulo J. S. Silva
L. G. Nonato
Claudio Silva
ArXiv (abs)PDFHTML

Papers citing "TopoMap: A 0-dimensional Homology Preserving Projection of High-Dimensional Data"

5 / 5 papers shown
Title
Enhancing cluster analysis via topological manifold learning
Enhancing cluster analysis via topological manifold learning
Moritz Herrmann
Daniyal Kazempour
Fabian Scheipl
Peer Kröger
65
9
0
01 Jul 2022
Discrete Morse Sandwich: Fast Computation of Persistence Diagrams for
  Scalar Data -- An Algorithm and A Benchmark
Discrete Morse Sandwich: Fast Computation of Persistence Diagrams for Scalar Data -- An Algorithm and A Benchmark
P. Guillou
Jules Vidal
Julien Tierny
71
16
0
27 Jun 2022
Topology-Preserving Dimensionality Reduction via Interleaving
  Optimization
Topology-Preserving Dimensionality Reduction via Interleaving Optimization
Bradley J. Nelson
Yuan Luo
57
5
0
31 Jan 2022
Improving Metric Dimensionality Reduction with Distributed Topology
Improving Metric Dimensionality Reduction with Distributed Topology
Alexander Wagner
Elchanan Solomon
Paul Bendich
33
12
0
14 Jun 2021
Topological Uncertainty: Monitoring trained neural networks through
  persistence of activation graphs
Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs
Théo Lacombe
Yuichi Ike
Mathieu Carrière
Frédéric Chazal
Marc Glisse
Yuhei Umeda
75
23
0
07 May 2021
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