EM algorithm for GTM-FS

Research output: Working paperTechnical report

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We propose a generative topographic mapping (GTM) based data visualization with simultaneous feature selection (GTM-FS) approach which not only provides a better visualization by modeling irrelevant features ("noise") using a separate shared distribution but also gives a saliency value for each feature which helps the user to assess their significance. This technical report presents a varient of the Expectation-Maximization (EM) algorithm for GTM-FS.



Original languageEnglish
Place of PublicationBirmingham
PublisherAston University
Number of pages5
ISBN (Print)NCRG/2005/012
Publication statusPublished - 2 Nov 2005


  • generative topographic mapping, data visualization, simultaneous feature selection, Expectation-Maximization algorithm, GTM-FS

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