2 papers
cs.LG2026
Maximum-distance nonnegative matrix factorization for unmixing highly mixed grain-size distribution data
Qianqian Qi, Zhongming Chen, Peter G. M. van der Heijden
Unmixing grain-size distribution data into several end-members can help reveal sediment provenance, transport, and sedimentation processes. Traditional end-member unmixing methods…
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…