Latent variable models for the topographic organisation of discrete and strictly positive data

DOI10.1016/S0925-2312(01)00659-2zbMath1006.68771OpenAlexW2060487113MaRDI QIDQ1851963

Mark A. Girolami

Publication date: 9 January 2003

Published in: Neurocomputing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0925-2312(01)00659-2

zbMATH Keywords

Generative modelsLatent semantic analysisNon-negative matrix factorisationTopographic mappings

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies and applications (68U99)

Related Items (2)

Missing data imputation through GTM as a mixture of \(t\)-distributions ⋮ Advances in clustering and visualization of time series using GTM through time

This page was built for publication: Latent variable models for the topographic organisation of discrete and strictly positive data