Field Theoretical Approach for Signal Detection in Nearly Continuous Positive Spectra II: Tensorial Data

Field Theoretical Approach for Signal Detection in Nearly Continuous Positive Spectra II: Tensorial Data

The tensorial principal component analysis is a generalization of ordinary principal component analysis focusing on data which are suitably described by tensors rather than matrices. This paper aims at giving the nonperturbative renormalization group formalism, based on a slight generalization of th...

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Bibliographic Details
Main Authors: Vincent Lahoche, Mohamed Ouerfelli, Dine Ousmane Samary, Mohamed Tamaazousti
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Entropy
Subjects:
renormalization group
field theory
phase transition
random tensors
big data
principal component analysis
Online Access:https://www.mdpi.com/1099-4300/23/7/795

Internet

https://www.mdpi.com/1099-4300/23/7/795

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