Mixtures of (constrained) ultrametric trees

DOI10.1007/BF02294863zbMath1291.62249OpenAlexW2104778602MaRDI QIDQ2248671

Michel Wedel, Wayne S. Desarbo

Publication date: 27 June 2014

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02294863

zbMATH Keywords

hierarchical clusteringmaximum likelihoodconstrained estimationlatent class analysisfinite mixturesultrametric trees

Mathematics Subject Classification ID

Applications of statistics to psychology (62P15)

Related Items

ROOTCLUS: searching for ``ROOT clusters in three-way proximity data ⋮ GINDCLUS: generalized INDCLUS with external information ⋮ A mixture model for the classification of three-way proximity data ⋮ A Bayesian approach to modeling group and individual differences in multidimensional scaling

Uses Software

• GAUSS
• GenStat

Cites Work

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• Constrained classification: The use of a priori information in cluster analysis
• Some types of clustering with relational constraints
• The representation of three-way proximity data by single and multiple tree structure models
• Extended similarity trees
• Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions
• Spatial, non-spatial and hybrid models for scaling
• Maximum likelihood estimation in multidimensional scaling
• A mixture likelihood approach for generalized linear models
• Hierarchical clustering schemes
• A modified Newton method for constrained estimation in covariance structure analysis
• Non-uniqueness and Inversions in Cluster Analysis