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A Kernel for Multi-Parameter Persistent Homology

Topological data analysis and its main method, persistent homology, provide a toolkit for computing topological information of high-dimensional and noisy data sets. Kernels for one-parameter persistent homology have been established to connect persistent homology with machine learning techniques wit...

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Publicat a:Comput Graph X
Autors principals: Corbet, René, Fugacci, Ulderico, Kerber, Michael, Landi, Claudia, Wang, Bei
Format: Artigo
Idioma:Inglês
Publicat: 2019
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7755142/
https://ncbi.nlm.nih.gov/pubmed/33367228
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cagx.2019.100005
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