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Multidimensional Scaling Versus Multiple Correspondence Analysis When Analyzing Calegorization Data
Abstract : Categorization is a cognitive process in which subjects are asked to group a set of object according to their similarities. This task was used for the first time in psychology and is becoming now more and more popular in sensory analysis. Categorization data are usually analyzed by multidimensional scaling (MDS). In this article we propose an original approach based on multiple correspondence analysis (MCA) this new methodology which provides new insights on the data will be compared to one specified procedure of MDS.
https://hal-agrocampus-ouest.archives-ouvertes.fr/hal-00730150
Contributor : Céline Martel Connect in order to contact the contributor
Submitted on : Friday, September 7, 2012 - 4:11:24 PM
Last modification on : Wednesday, April 6, 2022 - 4:08:07 PM
Contributor : Céline Martel Connect in order to contact the contributor
Submitted on : Friday, September 7, 2012 - 4:11:24 PM
Last modification on : Wednesday, April 6, 2022 - 4:08:07 PM
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