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Descriptor Fingerprints and Their Application to WhiteWine Clustering and Discrimination.

I. P. Bangov

I. P. Bangov

“Konstantin Preslavsky” University of Shumen, Faculty of Natural Sciences, Department of ChemistryShumen, Bulgaria
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Bangov, I. P.
, 
M. Moskovkina

M. Moskovkina

“Konstantin Preslavsky” University of Shumen, Faculty of Natural Sciences, Department of ChemistryShumen, Bulgaria
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Moskovkina, M.
 et 
B. P. Stojanov

B. P. Stojanov

“Konstantin Preslavsky” University of Shumen, Faculty of Natural Sciences, Department of ChemistryShumen, Bulgaria
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Stojanov, B. P.
  
07 mars 2018
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Publié en ligne: 07 mars 2018
Pages: 24 - 34
Reçu: 30 nov. 2017
Accepté: 11 janv. 2018
DOI: https://doi.org/10.2478/asn-2018-0004
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© 2018 I. P. Bangov et al., published by De Gruyter Open
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

This study continues the attempt to use the statistical process for a large-scale analytical data. A group of 3898 white wines, each with 11 analytical laboratory benchmarks was analyzed by a fingerprint similarity search in order to be grouped into separate clusters. A characterization of the wine’s quality in each individual cluster was carried out according to individual laboratory parameters.

Langue:
Anglais
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1 fois par an
Sujets de la revue:
Chimie, Chimie, autres, Géosciences, Géographie, Sciences de la vie, Sciences de la vie, autres, Physique, Physique, autres
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