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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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| Pubblicato in: | Comput Graph X |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2019
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| Soggetti: | |
| Accesso online: | 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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