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Non-gaussian vectors modeling by compressed principal component analysis

Marc Mignolet 1 Christian Soize 2 
1 ASU - Arizona State University [Tempe]
2 MSME - Laboratoire Modélisation et Simulation Multi-Echelle
Keywords : data compression principal component analysis machine learning
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Conference papers
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https://hal-upec-upem.archives-ouvertes.fr/hal-03137930
Contributor : Christian Soize Connect in order to contact the contributor
Submitted on : Wednesday, February 10, 2021 - 5:49:51 PM
Last modification on : Sunday, June 26, 2022 - 3:04:43 AM

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  • HAL Id : hal-03137930, version 1

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UPEC-UPEM | CNRS | INSMI | MSME | MSME_MECA | UPEC

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Marc Mignolet, Christian Soize. Non-gaussian vectors modeling by compressed principal component analysis. The 14th World Congress of Computational Mechanics (WCCM 2020) and ECCOMAS Congress 2020, Jan 2021, Paris, France. ⟨hal-03137930⟩

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