Multilinear principal component analysis: Difference between revisions

Revision as of 03:22, 14 July 2016

Revision as of 01:43, 15 July 2016

Line 1:

{{context|date=June 2012}}

'''Multilinear Principal Component Analysis''' (MPCA) is a multilinear data analysis extension of [[principal component analysis]] (PCA) that is employed in the analysis of n-way arrays, ie a cube or hyper-cube of numbers. Its The origin of this method can be traced back to the [[Tucker decomposition]]<ref>{{Cite journal|last1=Tucker| first1=Ledyard R

| authorlink1 = Ledyard R Tucker

| title = Some mathematical notes on three-mode factor analysis