Descriptor Fingerprints and Their Application to WhiteWine Clustering and Discrimination.
, e | 07 mar 2018
INFORMAZIONI SU QUESTO ARTICOLO
Pubblicato online: 07 mar 2018
Pagine: 24 - 34
Ricevuto: 30 nov 2017
Accettato: 11 gen 2018
DOI: https://doi.org/10.2478/asn-2018-0004
Parole chiave
© 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.