Topographic Bernoulli block mixture mapping for binary tables

DOI10.1007/s10044-014-0368-8zbMath1328.62389OpenAlexW2011425055MaRDI QIDQ903125

Mohamed Nadif, Gérard Govaert, Rodolphe Priam

Publication date: 5 January 2016

Published in: PAA. Pattern Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10044-014-0368-8

zbMATH Keywords

binary matrixgenerative topographic mappingblock EM algorithmlatent block mixture model

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (3)

A finite mixture approach to joint clustering of individuals and multivariate discrete outcomes ⋮ Topographic Bernoulli block mixture mapping for binary tables ⋮ Biclustering multivariate discrete longitudinal data

Uses Software

• Silhouettes

Cites Work

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• Sparse logistic principal components analysis for binary data
• Topographic Bernoulli block mixture mapping for binary tables
• Principal component analysis of binary data by iterated singular value decomposition
• Block clustering with Bernoulli mixture models: comparison of different approaches
• Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
• Developments of the generative topographic mapping
• On multivariate binary data clustering and feature weighting
• Clustering Criteria and Multivariate Normal Mixtures
• Self-organizing maps.

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