Clustering of variables around latent components: an application in consumer science

Endrizzi, Isabella (2008) Clustering of variables around latent components: an application in consumer science, [Dissertation thesis], Alma Mater Studiorum Università di Bologna. Dottorato di ricerca in Metodologia statistica per la ricerca scientifica, 20 Ciclo. DOI 10.6092/unibo/amsdottorato/667.
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Abstract

The present work proposes a method based on CLV (Clustering around Latent Variables) for identifying groups of consumers in L-shape data. This kind of datastructure is very common in consumer studies where a panel of consumers is asked to assess the global liking of a certain number of products and then, preference scores are arranged in a two-way table Y. External information on both products (physicalchemical description or sensory attributes) and consumers (socio-demographic background, purchase behaviours or consumption habits) may be available in a row descriptor matrix X and in a column descriptor matrix Z respectively. The aim of this method is to automatically provide a consumer segmentation where all the three matrices play an active role in the classification, getting homogeneous groups from all points of view: preference, products and consumer characteristics. The proposed clustering method is illustrated on data from preference studies on food products: juices based on berry fruits and traditional cheeses from Trentino. The hedonic ratings given by the consumer panel on the products under study were explained with respect to the product chemical compounds, sensory evaluation and consumer socio-demographic information, purchase behaviour and consumption habits.

Abstract
Tipologia del documento
Tesi di dottorato
Autore
Endrizzi, Isabella
Supervisore
Co-supervisore
Dottorato di ricerca
Ciclo
20
Coordinatore
Settore disciplinare
Settore concorsuale
Parole chiave
clustering of variables preference study l-structure consumer segmentation pls regression
URN:NBN
DOI
10.6092/unibo/amsdottorato/667
Data di discussione
2 Aprile 2008
URI

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