Unsupervised vector-based classification of single-molecule charge transport data
The stochastic nature of single-molecule charge transport measurements requires collection of large data sets to capture their full complexity. Here, the authors adopt strategies from machine learning for the unsupervised classification of single-molecule charge transport data without a prioriassump...
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| Auteurs principaux: | , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2016
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/783f9f9e3f614d2ab2923c9e3e94985d |
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| Résumé: | The stochastic nature of single-molecule charge transport measurements requires collection of large data sets to capture their full complexity. Here, the authors adopt strategies from machine learning for the unsupervised classification of single-molecule charge transport data without a prioriassumptions. |
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