Abstract
In a recent study of about 6500 white and red Portuguese wines, a formal method of classification was considered based on 11 key chemical and physical properties. These properties were all deemed as being important for influencing the quality of wine that is produced in the area. In this paper, we explore these physiochemical characteristics and begin by providing a glimpse into understanding the link between these characteristics and wine quality. A more formal analytical approach is considered that involves undertaking a multiple-regression analysis of these characteristics. A key aspect of this paper is to provide a graphical comparison of this formal method of classification with the classification given to the wines by three experienced assessors. The graphical approach considered in this paper is correspondence analysis applied to the confusion matrices formed by cross-classifying the wine levels given by the assessors and those specified by more formal classification methods. The use of two-dimensional plots and three-dimensional plots obtained from the correspondence analysis of these matrices is explored, and the advantages of other graphical means, including the dendrogram, to visualise the association between these categories are briefly considered.
Keywords: Classification methods, Confusion matrix, Correspondence analysis, Dendrogram, Wine quality
Current Analytical Chemistry
Title:A Visual Evaluation of a Classification Method for Investigating the Physicochemical Properties of Portuguese Wine
Volume: 8 Issue: 2
Author(s): Eric J. Beh and Clovia I. Holdsworth
Affiliation:
Keywords: Classification methods, Confusion matrix, Correspondence analysis, Dendrogram, Wine quality
Abstract: In a recent study of about 6500 white and red Portuguese wines, a formal method of classification was considered based on 11 key chemical and physical properties. These properties were all deemed as being important for influencing the quality of wine that is produced in the area. In this paper, we explore these physiochemical characteristics and begin by providing a glimpse into understanding the link between these characteristics and wine quality. A more formal analytical approach is considered that involves undertaking a multiple-regression analysis of these characteristics. A key aspect of this paper is to provide a graphical comparison of this formal method of classification with the classification given to the wines by three experienced assessors. The graphical approach considered in this paper is correspondence analysis applied to the confusion matrices formed by cross-classifying the wine levels given by the assessors and those specified by more formal classification methods. The use of two-dimensional plots and three-dimensional plots obtained from the correspondence analysis of these matrices is explored, and the advantages of other graphical means, including the dendrogram, to visualise the association between these categories are briefly considered.
Export Options
About this article
Cite this article as:
J. Beh Eric and I. Holdsworth Clovia, A Visual Evaluation of a Classification Method for Investigating the Physicochemical Properties of Portuguese Wine, Current Analytical Chemistry 2012; 8 (2) . https://dx.doi.org/10.2174/157341112800392616
DOI https://dx.doi.org/10.2174/157341112800392616 |
Print ISSN 1573-4110 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-6727 |
Call for Papers in Thematic Issues
Advancements in biomedicine, corrosion inhibition/monitoring, and lubrication of carbon dots
Carbon dots, a class of carbon-based nanomaterials, have garnered substantial interest in various scientific and engineering fields due to their unique properties, including excellent optical properties, outstanding biocompatibility, easy preparation, good dispersity, ultrasmall size, low toxicity and environmental friendliness. This special issue of Current Analytical Chemistry aims to showcase cutting-edge ...read more
Analytical methods for environmental and food analysis
In recent years, the study of the chemical composition of food and the environment depends on analytical methods in order to acquire information about the chemical composition, processing, quality control and contamination of soil, water, air, plants and foods, aspects very important for food safety and environmental quality control. There ...read more
Applications of artificial intelligence in chemical analysis
Artificial intelligence (AI) has demonstrated its versatility in almost all scientific fields, especially analytical chemistry, which is leading the way in the integration of AI. According to Chemical Abstract Services, one of the major disciplines contributing to AI-related publications and patents is analytical chemistry. That?s because techniques such as deep ...read more
Bioanalytical and Biosensor Technologies for Target Molecules
Bioanalytical and biosensor technologies constitute the core of detecting and sensing diverse molecules within living organisms, encompassing proteins, DNA, small molecular metabolites, and beyond. These molecules assume pivotal roles in biological processes, rendering their analysis and sensing indispensable for comprehending biological phenomena and unraveling disease mechanisms. In the current landscape ...read more
- Author Guidelines
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers