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Sparse PARAFAC with L1-penalized multi-way tensor decomposition
SIT decomposes multi-way data from GC-MS by modeling shift-invariant tri-linear structure, 20-60x faster than PARAFAC2.
The PARAFAC-ALS (Lite version) algorithm unmixes trilinear data to obtain the pure components.
The MCR-ALS (Lite version) algorithm unmixes bilinear data to obtain the pure components.
It implements all-at-once model for coupled matrix and tensor analysis (CMTF and ACMTF), enabling joint analysis of matrices + higher‐order tensors.
Legacy weighted SIMPLISMA (pure) for selecting pure variables in multivariate datasets.
MATLAB user-friendly GUI toolbox implementing MCR‑ALS with advanced constraints.
Kernelize transforms bilinear data (exponential decays) using kernels to provide trilinear data.