Preference mapping using a latent class vector model
2001
Courcoux, P. | Chavanne, P.C.
An application of a latent class vector model to preference data is presented. Analysing hedonic ratings, this technique realises simultaneously the clustering of consumers in homogeneous classes on the basis of their preferences and the joint representation of products and classes using a vector model. A probabilistic assumption allows performance of significance tests on the number of clusters and provides a useful tool for interpreting results of preference tests.
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书目信息
Food quality and preference
卷
12
期
5
页码
369
- 372
ISSN
0950-3293
其它主题
Hedonic rating data; Probabilistic models; Clustering algorithms; Consumer panels; Cluster analysis
语言
英语
类型
Journal Article; Text
2024-02-28
MODS