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Chapter 50: Logical Discriminant Models
Discriminant analysis can be broadly described as the study of the association between a set of entities’ attributes (predictors) and a categorical target attribute imposing classes to those entities. The objectives of this analysis are:
- To clarify and explain the differences between classes, based on predictors.
- To propose rules to correctly classify entities into classes, again based on the same predictors.
As an example, we can consider the discriminant analysis referred to different clients’ segments (target variable) based on sociodemographics and/or behavioural and attitudinal attributes (predictors). As a result, discriminant analysis will yield a better understanding of differences between segments and a means to classify clients into the segments. Discriminant analysis may rely on functional, graphical or logical type models. Logical type ...