The ultrametric correlation matrix for modelling hierarchical latent concepts

DOI10.1007/s11634-020-00400-zzbMath1459.62097OpenAlexW3032586657MaRDI QIDQ2022491

Giorgia Zaccaria, Maurizio Vichi, Carlo Cavicchia

Publication date: 29 April 2021

Published in: Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11634-020-00400-z

zbMATH Keywords

partition of variableshigher-order modelshierarchical factor modelshierarchical latent conceptsultrametric correlation matrix

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to psychology (62P15)

Related Items

Hierarchical disjoint principal component analysis ⋮ An empirical comparison of two approaches for CDPCA in high-dimensional data ⋮ Gaussian mixture model with an extended ultrametric covariance structure

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