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Different variants of Normalized EM Algorithm for Gene Expression Data

Abstract : The actual clustering methods of directional data are commonly performed in considering data belonging to the unit radius sphere. In certain situations, assuming that the radius equal to one is not appropriated. In this work we propose to estimate it to be greater than one. We then suggest to apply a normalized EM algorithm and derive different variants. This procedure has shown an important influence on the clustering results of gene expression data.
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https://hal.sorbonne-universite.fr/hal-00740344
Contributor : Wafia Bouberima Parr Connect in order to contact the contributor
Submitted on : Tuesday, October 9, 2012 - 10:55:47 PM
Last modification on : Friday, April 10, 2020 - 5:24:36 PM

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Wafia Bouberima Parr, Yamina Khemal Bencheikh, Mohamed Nadif. Different variants of Normalized EM Algorithm for Gene Expression Data. The 2nd International Workshop on Biological Knowledge Discovery and Data Mining - DEXA '11, Sep 2011, Toulouze, France. pp.418-422, ⟨10.1109/DEXA.2011.26⟩. ⟨hal-00740344⟩

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Les métriques sont temporairement indisponibles