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:	Mario Lemmer, Michael S. Inkpen, Katja Kornysheva, Nicholas J. Long, Tim Albrecht
Format:	article
Langue:	EN
Publié:	Nature Portfolio 2016
Sujets:	Science Q
Accès en ligne:	https://doaj.org/article/783f9f9e3f614d2ab2923c9e3e94985d
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id	oai:doaj.org-article:783f9f9e3f614d2ab2923c9e3e94985d
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spelling	oai:doaj.org-article:783f9f9e3f614d2ab2923c9e3e94985d2021-12-02T17:31:19ZUnsupervised vector-based classification of single-molecule charge transport data10.1038/ncomms129222041-1723https://doaj.org/article/783f9f9e3f614d2ab2923c9e3e94985d2016-10-01T00:00:00Zhttps://doi.org/10.1038/ncomms12922https://doaj.org/toc/2041-1723The 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.Mario LemmerMichael S. InkpenKatja KornyshevaNicholas J. LongTim AlbrechtNature PortfolioarticleScienceQENNature Communications, Vol 7, Iss 1, Pp 1-10 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Mario Lemmer Michael S. Inkpen Katja Kornysheva Nicholas J. Long Tim Albrecht Unsupervised vector-based classification of single-molecule charge transport data
description	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.
format	article
author	Mario Lemmer Michael S. Inkpen Katja Kornysheva Nicholas J. Long Tim Albrecht
author_facet	Mario Lemmer Michael S. Inkpen Katja Kornysheva Nicholas J. Long Tim Albrecht
author_sort	Mario Lemmer
title	Unsupervised vector-based classification of single-molecule charge transport data
title_short	Unsupervised vector-based classification of single-molecule charge transport data
title_full	Unsupervised vector-based classification of single-molecule charge transport data
title_fullStr	Unsupervised vector-based classification of single-molecule charge transport data
title_full_unstemmed	Unsupervised vector-based classification of single-molecule charge transport data
title_sort	unsupervised vector-based classification of single-molecule charge transport data
publisher	Nature Portfolio
publishDate	2016
url	https://doaj.org/article/783f9f9e3f614d2ab2923c9e3e94985d
work_keys_str_mv	AT mariolemmer unsupervisedvectorbasedclassificationofsinglemoleculechargetransportdata AT michaelsinkpen unsupervisedvectorbasedclassificationofsinglemoleculechargetransportdata AT katjakornysheva unsupervisedvectorbasedclassificationofsinglemoleculechargetransportdata AT nicholasjlong unsupervisedvectorbasedclassificationofsinglemoleculechargetransportdata AT timalbrecht unsupervisedvectorbasedclassificationofsinglemoleculechargetransportdata
_version_	1718380621662781440

Unsupervised vector-based classification of single-molecule charge transport data

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