A latent class multidimensional scaling model for two-way one-mode continuous rating dissimilarity data

DOI10.1007/s11336-008-9104-xzbMath1243.62146OpenAlexW2057069736MaRDI QIDQ1029518

Rodrigo Macías, Willem J. Heiser, J. Fernando Vera

Publication date: 13 July 2009

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-008-9104-x

zbMATH Keywords

clusteringsimulated annealingMonte Carlo simulationsmaximum likelihoodfinite mixture modellatent class analysisiterative majorization

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Monte Carlo methods (65C05) Applications of statistics to psychology (62P15) One- and multidimensional scaling in the social and behavioral sciences (91C15)

Related Items (7)

Cluster differences unfolding for two-way two-mode preference rating data ⋮ Distance‐based logistic model for cross‐classified categorical data ⋮ Variance-based cluster selection criteria in a \(K\)-means framework for one-mode dissimilarity data ⋮ A latent class MDS model with spatial constraints for non-stationary spatial covariance estimation ⋮ Cluster Optimized Proximity Scaling ⋮ On the behaviour of \(K\)-means clustering of a dissimilarity matrix by means of full multidimensional scaling ⋮ Clustering and representation of time series. Application to dissimilarities based on divergences

Uses Software

• pertsaus2

Cites Work

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