> Here we're talking about mapping data into a high dimensional space, then trying to project that down to the minimum dimension space that can preserve the rel

> Here we're talking about mapping data into a high dimensional space, then trying to project that down to the minimum dimension space that can preserve the relevant information. Isn't this what M/PCA is all about? https://en.wikipedia.org/wiki/Principal_component_analysis https://en.wikipedia.org/wiki/Principal_component_analysis and https://en.wikipedia.org/wiki/Multilinear_principal_component_analysis https://en.wikipedia.org/wiki/Multilinear_principal_componen...