Unreliability of clustering results in sensory studies and a strategy to address the issue
Researchers commonly use hierarchical clustering (HC) or k-means (KM) for grouping products, attributes, or consumers. However, the results produced by these approaches can differ widely depending on the specific methods used or the initial “seed” aka “starting cluster centroid” chosen in clustering...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-04-01
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| Series: | Frontiers in Food Science and Technology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/frfst.2024.1271193/full |