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{{context|date=June 2012}}
'''Multilinear Principal Component Analysis''' (MPCA) is a [[multilinear]] extension of [[principal component analysis]] (PCA). MPCA is employed in the analysis of n-way arrays, i.e. a cube or hyper-cube of numbers, also informally referred to as a "data tensor". N-way arrays may be decomposed, analyzed, or modeled by
* linear tensor models such as CANDECOMP/Parafac, or
* multilinear tensor models, such multilinear principal component analysis (MPCA), or multilinear independent component analysys (MICA), etc.
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