Machine Learning in Sensory Analysis of Mead—A Case Study: Ensembles of Classifiers

The aim was to explore using machine learning (including cluster mapping and k-means methods) to classify types of mead based on sensory analysis and aromatic compounds. Machine learning is a modern tool that helps with detailed analysis, especially because verifying aromatic compounds is challengin...

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Bibliographic Details
Published in:Molecules
Main Authors: Krzysztof Przybył, Daria Cicha-Wojciechowicz, Natalia Drabińska, Małgorzata Anna Majcher
Format: Article
Language:English
Published: MDPI AG 2025-07-01
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Online Access:https://www.mdpi.com/1420-3049/30/15/3199