Geographical Classification of Tannat Wines Based on Support Vector Machines and Feature Selection
Geographical product recognition has become an issue for researchers and food industries. One way to obtain useful information about the fingerprint of wines is by examining that fingerprint’s chemical components. In this paper, we present a data mining and predictive analysis to classify...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-11-01
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| Series: | Beverages |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2306-5710/4/4/97 |