Descriptor Fingerprints and Their Application to WhiteWine Clustering and Discrimination.

I. P. Bangov; M. Moskovkina; B. P. Stojanov

doi:10.2478/asn-2018-0004

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Descriptor Fingerprints and Their Application to WhiteWine Clustering and Discrimination.

Acta Scientifica Naturalis

Volume 5 (2018): Issue 1 (March 2018)

By: I. P. Bangov, M. Moskovkina and B. P. Stojanov

Open Access

|Mar 2018

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.

References

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Articles in this issue

DOI: https://doi.org/10.2478/asn-2018-0004 | Journal eISSN: 2603-347X | Journal ISSN: 2367-5144

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Language: English

Page range: 24 - 34

Submitted on: Nov 30, 2017

Accepted on: Jan 11, 2018

Published on: Mar 7, 2018

Published by: Konstantin Preslavski University of Shumen

In partnership with: Paradigm Publishing Services

Publication frequency: 3 issues per year

Keywords:

similarity search,

descriptor fingerprints,

white wine clustering

Related subjects:

Life sciences, other,

Physics,

Physics, other

© 2018 I. P. Bangov, M. Moskovkina, B. P. Stojanov, published by Konstantin Preslavski University of Shumen
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 5 (2018): Issue 1 (March 2018)