3 papers
cs.LG2026
Identification of NMF by choosing maximum-volume basis vectors
Qianqian Qi, Zhongming Chen, Peter G. M. van der Heijden
In nonnegative matrix factorization (NMF), minimum-volume-constrained NMF is a widely used framework for identifying the solution of NMF by making basis vectors as similar as possi…
stat.ME2026
Unmixing highly mixed grain size distribution data via maximum volume constrained end member analysis
Qianqian Qi, Zhongming Chen, Peter G. M. van der Heijden
End member analysis (EMA) unmixes grain size distribution (GSD) data into a mixture of end members (EMs), thus helping understand sediment provenance and depositional regimes and p…
stat.ML2025
A review of NMF, PLSA, LBA, EMA, and LCA with a focus on the identifiability issue
Qianqian Qi, Peter G. M. van der Heijden
Across fields such as machine learning, social science, geography, considerable attention has been given to models that factorize a nonnegative matrix into the product of two or th…