<abstract xmlns="http://www.w3.org/1999/xhtml"><p> The investigation was performed to test the potentials of the fingerprint clustering algorithm for a set of 1599 red wines in relation to some wine properties, comprised in the notion “wine quality”. We have obtained a distribution of the wines into different clusters as a result. Each cluster was composed of wine-objects with similar values of laboratory parameters and with a wine quality certificate. A correlation between the. quality of wines (a sensory taste factor) and the phisicochemical descriptors (laboratory analytical test results data) was observed and analyzed.</p></abstract>

The investigation was performed to test the potentials of the fingerprint clustering algorithm for a set of 1599 red wines in relation to some wine properties, comprised in the notion “wine quality”. We have obtained a distribution of the wines into different clusters as a result. Each cluster was composed of wine-objects with similar values of laboratory parameters and with a wine quality certificate. A correlation between the. quality of wines (a sensory taste factor) and the phisicochemical descriptors (laboratory analytical test results data) was observed and analyzed.

Descriptor Fingerprints and Their Application to Red Wine Clustering and Discrimination

Faculty of Natural Sciences, “K. Preslavsky” University of Shumen 115, Universitetska Str., 9712 Shumen,

Acta Scientifica Naturalis

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

The investigation was performed to test the potentials of the fingerprint clustering algorithm for a set of 1599 red wines in relation to some wine properties,...

Descriptor Fingerprints and Their Application to Red Wine Clustering and Discrimination

Publié en ligne: 09 févr. 2017

Pages: 29 - 33

Reçu: 30 oct. 2016

Accepté: 11 janv. 2017

DOI: https://doi.org/10.1515/asn-2017-0005

Mots clés
similarity search, descriptor fingerprints, red wine clustering

© 2017

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Descriptor Fingerprints and Their Application to Red Wine Clustering and Discrimination

Publié en ligne: 09 févr. 2017

Pages: 29 - 33

Reçu: 30 oct. 2016

Accepté: 11 janv. 2017

DOI: https://doi.org/10.1515/asn-2017-0005

Mots cléssimilarity search, descriptor fingerprints, red wine clustering

© 2017

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Mots clés
similarity search, descriptor fingerprints, red wine clustering