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1 Ergebnisse
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An unsupervised clustering method for nuclear magnetic reso..:
Xinmin GE
;
Zong'an XUE
;
Jun ZHOU
...
http://www.sciencedirect.com/science/article/pii/S1876380422600284. , 2022
Link:
https://doi.org/10.1016/S1876-3804(22)60028-4
RT Journal T1 <Title>An unsupervised clustering method for nuclear magnetic resonance transverse relaxation spectrums based on the Gaussian mixture model and its application</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:bf95b2b1d8884dc2961e1c6acd7beab4&Exemplar=1&LAN=DE A1 Xinmin GE A1 Zong'an XUE A1 Jun ZHOU A1 Falong HU A1 Jiangtao LI A1 Hengrong ZHANG A1 Shuolong WANG A1 Shenyuan NIU A1 Ji'er ZHAO PB KeAi Communications Co., Ltd. YR 2022 K1 NMR T2 spectrum K1 Gaussian mixture model K1 expectation-maximization algorithm K1 Akaike information criterion K1 unsupervised clustering method K1 quantitative pore structure evaluation K1 Petroleum refining. Petroleum products K1 TP690-692.5 JF http://www.sciencedirect.com/science/article/pii/S1876380422600284 LK http://dx.doi.org/https://doi.org/10.1016/S1876-3804(22)60028-4 DO https://doi.org/10.1016/S1876-3804(22)60028-4 SF ELIB - SuUB Bremen
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