Fitting a mixture model to three-mode three-way data with categorical and continuous variables

DOI10.1007/s003579900057zbMath0951.91069OpenAlexW2070232557MaRDI QIDQ1963872

Lynette A. Hunt

Publication date: 3 February 2000

Published in: Journal of Classification (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s003579900057

zbMATH Keywords

clusteringmixed datafinite mixture models

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Clustering in the social and behavioral sciences (91C20)

Related Items (8)

Clustering bivariate mixed-type data via the cluster-weighted model ⋮ Mixtures of regression models with incomplete and noisy data ⋮ Least-squares bilinear clustering of three-way data ⋮ Biclustering multivariate discrete longitudinal data ⋮ Finite mixtures of matrix normal distributions for classifying three-way data ⋮ Clustering construction on a multimodal probability model ⋮ Editorial: Advances in mixture models ⋮ A hierarchical mixture model for clustering three-way data sets

Uses Software

• MULTIMIX

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