The relation between hierarchical and Euclidean models for psychological distances

DOI10.1007/BF02291218zbMath0273.92007OpenAlexW2038848017MaRDI QIDQ2264633

Eric W. Holman

Publication date: 1972

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02291218

Mathematics Subject Classification ID

Genetics and epigenetics (92D10) Mathematical psychology (91E99)

Related Items (7)

Application of cut polyhedra. I ⋮ On certain linear mappings between inner-product and squared-distance matrices ⋮ A parametric procedure for ultrametric tree estimation from conditional rank order proximity data ⋮ Completely nonmetric multidimensional scaling ⋮ Hierarchical trees can be perfectly scaled in one dimension ⋮ On Euclidean images of a set endowed with a preordonnance ⋮ Optimal variable weighting for hierarchical clustering: An alternating least-squares algorithm

Cites Work

• Unnamed Item
• Hierarchical clustering schemes
• The analysis of proximities: Multidimensional scaling with an unknown distance function: I, II
• Some boundary conditions for a monotone analysis of symmetric matrices

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