Preference mapping using a latent class vector model

被引：11

作者：

Courcoux, P ^{[1
]}

Chavanne, PC ^{[1
]}

机构：

[1] ENITIAA, INRA, Unite Stat Appl Caracterisat Aliments, F-44322 Nantes 03, France

来源：

FOOD QUALITY AND PREFERENCE | 2001年 / 12卷 / 5-7期

关键词：

latent class; vector model; preference data; EM algorithm;

D O I：

10.1016/S0950-3293(01)00027-1

中图分类号：

TS2 [食品工业];

学科分类号：

0832 ;

摘要：

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. (C) 2001 Elsevier Science Ltd. All rights reserved.

引用

页码：369 / 372

页数：4

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