Dimensionality reduction of full fields by the principal components analysis

Abstract : The principal components analysis is applied to simulated full field displacement maps of 4569 measurement points thus allowing representation of any field within a certain domain as a linear combination of five basis vectors without losing significant information. A dimensionality reduction from 4569 to only 5 is thus achieved.
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https://hal-emse.ccsd.cnrs.fr/emse-00686753
Contributor : Florent Breuil <>
Submitted on : Wednesday, April 11, 2012 - 10:46:36 AM
Last modification on : Wednesday, November 20, 2019 - 2:27:00 AM

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  • HAL Id : emse-00686753, version 1

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Christian Gogu, Raphael Haftka, Rodolphe Le Riche, Jérôme Molimard, Alain Vautrin. Dimensionality reduction of full fields by the principal components analysis. 17th International Conference on Composite Materials, Jul 2009, Edinburgh, United Kingdom. pp.F14.7. ⟨emse-00686753⟩

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