Skip to content

Python notebooks implementing multilinear PCA (MPCA, UMPCA) and LDA (UMLDA) algorithms using Tensorly.

License

Notifications You must be signed in to change notification settings

cchatzis/Multilinear-Subspace-Learning-Algorithms

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Implementation of well known Multilinear Subspace Learning Algorithms

Python notebooks implementing multilinear PCA (MPCA, UMPCA) and LDA (UMLDA) algorithms using Tensorly.

You can find all of the implementation details along with examples the notebooks.

Main source of information (as well as MATLAB code) was:

  • Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data, Haiping Lu, K. N. Plataniotis, and A. N. Venetsanopoulos, Chapman & Hall/CRC Press Machine Learning and Pattern Recognition Series, Taylor and Francis, ISBN: 978-1-4398572-4-3, 2013.

About

Python notebooks implementing multilinear PCA (MPCA, UMPCA) and LDA (UMLDA) algorithms using Tensorly.

Topics

Resources

License

Stars

Watchers

Forks