Multilinear principal component analysis: Difference between revisions

Revision as of 03:56, 20 March 2023

Revision as of 03:12, 11 April 2023

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{{short description|Multilinear extension of principal component analysis}}

'''Multilinear principal component analysis''' ('''MPCA''') is a [[Multilinear algebra|multilinear]] extension of [[principal component analysis]] (PCA). MPCA is employed in the analysis of M-way arrays, i.e. a cube or hyper-cube of numbers, also informally referred to as a "data tensor". M-way arrays may be modeled by

* linear tensor models such as CANDECOMP/Parafac, or