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On characterization of sensory data in presence of missing values: The case of sensory coffee quality assessment.
- Source :
-
INGENIARE - Revista Chilena de Ingeniería . 2022, Vol. 30 Issue 3, p564-573. 10p. - Publication Year :
- 2022
-
Abstract
- Multiple factor analysis was used to examine organoleptic coffee assessments such as aroma, aftertaste, flavor, acidity, balance, body, uniformity, sweetness, clean cup, and other organoleptic-related properties used in Coffee Quality Assessment. The Sensory analysis was performed using missing values (NA) scenarios with 5%, 10%, 20%, and 30% of NA. The results suggest that RI-MFA is robust to NA presence of and appears to be appropriate when sensory data are present. Simulation scenarios deleting or replacing values from real-world datasets could be a good strategy; different domains, samples, types of variables, and distributions could prove much closer to reality. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 07183291
- Volume :
- 30
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- INGENIARE - Revista Chilena de Ingeniería
- Publication Type :
- Academic Journal
- Accession number :
- 160579160