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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| Autores principales: | , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2016
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/783f9f9e3f614d2ab2923c9e3e94985d |
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| Sumario: | 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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