The use of probabilistic models to produce optimal graphical displays of high-dimensional data sets

DOI10.1007/BF02589049zbMath1417.62012OpenAlexW2014438579MaRDI QIDQ3598241

Henri Caussinus

Publication date: 3 February 2009

Published in: Journal of the Italian Statistical Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02589049

zbMATH Keywords

principal component analysisprojection pursuitexploratory data analysiscontingency tablesgraphical displays

Mathematics Subject Classification ID

Graphical methods in statistics (62A09)

Related Items (1)

The fixed effects PCA model in a common principal component environment

Cites Work

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• Canonical Analysis of Contingency Tables by Maximum Likelihood
• What is Projection Pursuit?
• Stability of principal component analysis studied by the bootstrap method
• Principal components analysis and optimization of graphical displays
• Exploratory Projection Pursuit
• Pca stability studied by the bootstrap and the infinitesimal jackknife method
• Association models and the bivariate normal for contingency tables with ordered categories
• Measures, Models, and Graphical Displays in the Analysis of Cross-Classified Data
• Asympotic study of the multivariate functional model. application to the metric choice in principal component analysis
• Some Comments on C P

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