Nonnegative matrix factorization analysis and multiple machine learning methods identified IL17C and ACOXL as novel diagnostic biomarkers for atherosclerosis. [PDF]
BMC Bioinformatics, 2023 Rao L, Peng B, Li T.
europepmc +1 more source
Projective robust nonnegative factorization
, 2016 Nonnegative matrix factorization (NMF) has been successfully used in many fields as a low-dimensional representation method. Projective nonnegative matrix factorization (PNMF) is a variant of NMF that was proposed to learn a subspace for feature ...
You, Jane +11 more
core +1 more source
International Transactions in Operational Research, EarlyView.Abstract In this paper, we address the problem of routing a fleet of electric vehicles (EVs) to serve a set of customers, geographically distributed, within their time windows. We assume that EVs may also be recharged en route, and the amount of energy recharged at a recharging station (RS) is a decision variable itself, that is, partial recharges are ...
Maurizio Bruglieri +3 more
wiley +1 more source
Relationship Matrix Nonnegative Decomposition for Clustering
, 2011 Nonnegative matrix factorization (NMF) is a popular tool for analyzing the latent structure of nonnegative data. For a positive pairwise similarity matrix, symmetric NMF (SNMF) and weighted NMF (WNMF) can be used to cluster the data.
Jiang-She Zhang, Ji-Yuan Pan
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A matheuristic for the traveling salesman problem with positional consistency constraints
International Transactions in Operational Research, EarlyView.Abstract We propose a matheuristic for the traveling salesman problem with positional consistency constraints, where we seek to generate a set of routes with minimum total cost, in which the nodes visited in more than one route (consistent nodes) must occupy the same relative position in all routes.
Luís Gouveia, Ana Paias, Mafalda Ponte
wiley +1 more source
A Constrained Sparse Algorithm for Nonnegative Matrix Factorization
工程科学与技术, 2015 :Aiming at the lack of sparseness of factorization matrix in the nonnegative matrix factorization (NMF) algorithm,a new constrained NMF algorithm was proposed.A sparseness constraint was added to the original nonnegative matrix factorization (NMF ...
李臣明, 张师明, 李昌利
doaj
Enhanced Extraction of Blood and Tissue Time-Activity Curves in Cardiac Mouse FDG PET Imaging by Means of Constrained Nonnegative Matrix Factorization. [PDF]
Int J Biomed Imaging, 2023 Sarrhini O +4 more
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Matrix Roots of Nonnegative and Eventually Nonnegative Matrices
, 2013 Thesis (Ph.D.), Department of Mathematics, Washington State UniversityEventually nonnegative matrices are real matrices whose powers become and remain nonnegative.
Paparella, Pietro
core
A spectral analysis extension to DEMATEL for strategic leverage points identification
International Transactions in Operational Research, EarlyView.Abstract Efforts to intervene in complex systems often emphasize influential factors, yet system behavior is equally shaped by the relationships among them. Methods such as Decision‐Making Trial and Evaluation Laboratory (DEMATEL) map causal structures but remain descriptive and do not identify which relationships provide the greatest leverage for ...
Pavlos Delias, Kerasia Kalkitsa
wiley +1 more source
Measuring the Effect of Vision on the Synergy of Lower Extremity Muscles during Walking using Nonnegative Matrix Factorization (NNMF) Algorithm Method. [PDF]
Appl Bionics Biomech, 2023 Safari N +4 more
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