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Statistical treatment of free sorting data by means of correspondence and cluster analyses
Statistical treatment of free sorting data by means of correspondence and cluster analyses
- Source :
- Food Quality and Preference, Food Quality and Preference, Elsevier, 2018, 68, pp.1-11. ⟨10.1016/j.foodqual.2018.01.011⟩
- Publication Year :
- 2018
- Publisher :
- HAL CCSD, 2018.
-
Abstract
- International audience; Several statistical procedures have been proposed for the analysis of the data from a free sorting task. A straightforward strategy of analysis based on correspondence analysis and cluster analysis performed on the co-occurrence matrix is proposed herein. More specifically, two situations are considered depending on whether the aim is to depict the relationships among the stimuli or to investigate the agreement among the subjects. The approach of analysis is illustrated on the basis of free sorting data characterizing chocolate products.
- Subjects :
- 0301 basic medicine
030109 nutrition & dietetics
Nutrition and Dietetics
Basis (linear algebra)
Computer science
business.industry
Sorting
Pattern recognition
04 agricultural and veterinary sciences
040401 food science
Correspondence analysis
Task (project management)
03 medical and health sciences
Matrix (mathematics)
0404 agricultural biotechnology
Cluster analysis
Free sorting
[SDV.IDA]Life Sciences [q-bio]/Food engineering
Cluster (physics)
[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering
Artificial intelligence
Co-occurrence matrix
business
Food Science
Subjects
Details
- Language :
- English
- ISSN :
- 09503293
- Database :
- OpenAIRE
- Journal :
- Food Quality and Preference, Food Quality and Preference, Elsevier, 2018, 68, pp.1-11. ⟨10.1016/j.foodqual.2018.01.011⟩
- Accession number :
- edsair.doi.dedup.....05f224036c00850e6047f5472f2fbd6b
- Full Text :
- https://doi.org/10.1016/j.foodqual.2018.01.011⟩