Results 1 to 10 of about 1,143,028 (268)

Computing Persistent Homology [PDF]

open access: yesDiscrete and Computational Geometry, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Afra Zomorodian, Gunnar Carlsson
exaly   +4 more sources

Persistent homology classification algorithm [PDF]

open access: yesPeerJ Computer Science, 2023
Data classification is an important aspect of machine learning, as it is utilized to solve issues in a wide variety of contexts. There are numerous classifiers, but there is no single best-performing classifier for all types of data, as the no free lunch
Mark Lexter D. De Lara
doaj   +5 more sources

Weighted persistent homology [PDF]

open access: yesRocky Mountain Journal of Mathematics, 2018
In this paper we develop the theory of weighted persistent homology. In 1990, Robert J. Dawson was the first to study in depth the homology of weighted simplicial complexes. We generalize the definitions of weighted simplicial complex and the homology of weighted simplicial complex to allow weights in an integral domain $R$. Then we study the resulting
Chengyuan Wu, Jie Wu
exaly   +5 more sources

Persistent homology of groups [PDF]

open access: yesJournal of Group Theory, 2010
We introduce and investigate notions of persistent homology for p-groups and for coclass trees of p-groups. Using computer techniques we show that persistent homology provides fairly strong homological invariants for p-groups of order at most 81.
Ellis, Graham, King, Simon A.
core   +3 more sources

Going beyond persistent homology using persistent homology

open access: yesNeural Information Processing Systems, 2023
Representational limits of message-passing graph neural networks (MP-GNNs), e.g., in terms of the Weisfeiler-Leman (WL) test for isomorphism, are well understood.
J. Immonen, Amauri H. Souza, Vikas Garg
semanticscholar   +4 more sources

Persistent Homology and String Vacua [PDF]

open access: yesJournal of High Energy Physics, 2015
We use methods from topological data analysis to study the topological features of certain distributions of string vacua. Topological data analysis is a multi-scale approach used to analyze the topological features of a dataset by identifying which ...
Cirafici, Michele
core   +5 more sources

Stratifying Multiparameter Persistent Homology [PDF]

open access: yesSIAM Journal on Applied Algebra and Geometry, 2019
Minor improvements throughout. In particular: we extended the introduction, added Table 1, which gives a dictionary between terms used in PH and commutative algebra; we streamlined Section 3; we added Proposition 4.49 about the information captured by the cp-rank; we moved the code from the appendix to github.
Heather A Harrington   +2 more
exaly   +4 more sources

Adaptive approximation of persistent homology

open access: yesJournal of Applied and Computational Topology, 2023
We study an important preprocessing step for the efficient calculation of persistent homology: coarsening a set of points while controlling the quality of the induced persistence diagram.
Maria Herick, M. Joachim, Jan Vahrenhold
semanticscholar   +3 more sources

Automatic epileptic seizure detection based on persistent homology

open access: yesFrontiers in Physiology, 2023
Epilepsy is a prevalent brain disease, which is quite difficult-to-treat or cure. This study developed a novel automatic seizure detection method based on the persistent homology method.
Ziyu Wang   +7 more
doaj   +2 more sources

Stochastic convergence of persistence landscapes and silhouettes

open access: yesJournal of Computational Geometry, 2015
Persistent homology is a widely used tool in Topological Data Analysis that encodes multi-scale topological information as a multiset of points in the plane called a persistence diagram.
Frédéric Chazal   +4 more
doaj   +5 more sources

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