<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

Data publikacji: 09 lut 2017

Zakres stron: 29 - 33

Otrzymano: 30 paź 2016

Przyjęty: 11 sty 2017

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

Słowa kluczowe
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

Data publikacji: 09 lut 2017

Zakres stron: 29 - 33

Otrzymano: 30 paź 2016

Przyjęty: 11 sty 2017

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

Słowa kluczowesimilarity search, descriptor fingerprints, red wine clustering

© 2017

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

Słowa kluczowe
similarity search, descriptor fingerprints, red wine clustering