Descriptor Fingerprints and Their Application to WhiteWine Clustering and Discrimination.
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07. März 2018
Über diesen Artikel
Online veröffentlicht: 07. März 2018
Seitenbereich: 24 - 34
Eingereicht: 30. Nov. 2017
Akzeptiert: 11. Jan. 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.