<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></abstract>

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.

Descriptor Fingerprints and Their Application to WhiteWine Clustering and Discrimination.

“Konstantin Preslavsky” University of Shumen

Faculty of Natural Sciences, Department of Chemistry

Acta Scientifica Naturalis

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...

Descriptor Fingerprints and Their Application to WhiteWine Clustering and Discrimination.

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

Mots clés
similarity search, descriptor fingerprints, white wine clustering

© 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.

Descriptor Fingerprints and Their Application to WhiteWine Clustering and Discrimination.

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

Mots cléssimilarity search, descriptor fingerprints, white wine clustering

© 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.

Mots clés
similarity search, descriptor fingerprints, white wine clustering