2022
DOI: 10.1007/978-3-031-15509-3_37
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Complex Dimensionality Reduction: Ultrametric Models for Mixed-Type Data

Abstract: The factorial latent structure of variables, if present, can be complex and generally identified by nested latent concepts ordered in a hierarchy, from the most specific to the most general one. This corresponds to a tree structure, where the leaves represent the observed variables and the internal nodes coincide with latent concepts defining the general one (i.e., the root of the tree). Although several methodologies have been proposed in the literature to study hierarchical relationships among quantitative v… Show more

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