Have a personal or library account? Click to login
Descriptor Fingerprints and Their Application to Red Wine Clustering and Discrimination Cover

Descriptor Fingerprints and Their Application to Red Wine Clustering and Discrimination

Open Access
|Feb 2017

References

  1. [1]. Ebeler, S., Flavor Chemistry - Therty Years of Progress, Kluwer Academic Publishers, 1999, p. 409-422.10.1007/978-1-4615-4693-1_35
  2. [2]. A. Legin, A.; Rudnitskaya, L.; Luvova, Y.; Vlasov C., Natale and D’Amico, A., “Evaluation of Italian wine by the electronic tongue: recognition, quantitative analysis and correlation with human sensory perception”, Analytica Chimica Acta, 2003, 484(1), p. 33-34.10.1016/S0003-2670(03)00301-5
  3. [3]. Cortez, P.; Cerdeira, A.; Almeida, F.; Matos, T.; Reis, J., “Modeling wine preferences by data mining from hysicochemical properties”, http://repositorium.sdum.uminho.pt/bitstream/1822/10029/1/wine5.pdf
  4. [4]. Butina, D., “Unsupervised data base clustering based on Daylight’s fingerprint and Tanimoto similarity: A fast and automated way to cluster small and large data sets, J. Chem. Inf. Comput. Scie., 1999. 39, pp 747-750.10.1021/ci9803381
DOI: https://doi.org/10.1515/asn-2017-0005 | Journal eISSN: 2603-347X | Journal ISSN: 2367-5144
Language: English
Page range: 29 - 33
Submitted on: Oct 30, 2016
Accepted on: Jan 11, 2017
Published on: Feb 9, 2017
Published by: Konstantin Preslavski University of Shumen
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2017 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.