EM algorithm for GTM-FS

Dharmesh M. Maniyar; Ian T. Nabney

EM algorithm for GTM-FS

Dharmesh M. Maniyar, Ian T. Nabney

Department of Computer Science

Research output: Other contribution

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Abstract

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 language	English
Publisher	Aston University
Publication status	Published - 1 Nov 2005

Keywords

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

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title = "EM algorithm for GTM-FS",

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AB - 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.

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M3 - Other contribution

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EM algorithm for GTM-FS

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