Results 71 to 80 of about 4,116 (162)

Hypergraph Regularized Discriminative Nonnegative Matrix Factorization on Sample Classification and Co-Differentially Expressed Gene Selection

Complexity, 2019
Nonnegative Matrix Factorization (NMF) is a significant big data analysis technique. However, standard NMF regularized by simple graph does not have discriminative function, and traditional graph models cannot accurately reflect the problem of ...
Yong-Jing Hao, Ying-Lian Gao, Mi-Xiao Hou, Ling-Yun Dai, Jin-Xing Liu   +4 more
doaj   +1 more source

UNMF: a unified nonnegative matrix factorization for multi-dimensional omics data. [PDF]

Brief Bioinform, 2023
Abe K, Shimamura T.
europepmc   +1 more source

Global and Local Similarity Learning in Multi-Kernel Space for Nonnegative Matrix Factorization. [PDF]

Knowl Based Syst, 2023
Peng C, Hou X, Chen Y, Kang Z, Chen C, Cheng Q.   +5 more
europepmc   +1 more source

Log-based sparse nonnegative matrix factorization for data representation. [PDF]

Knowl Based Syst, 2022
Peng C, Zhang Y, Chen Y, Kang Z, Chen C, Cheng Q.   +5 more
europepmc   +1 more source

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

libNMF - A Library for Nonnegative Matrix Factorization.

Comput. Informatics, 2011
We present libNMF -- a computationally efficient high performance library for computing nonnegative matrix factorizations (NMF) written in C. Various algorithms and algorithmic variants for computing NMF are supported. libNMF is based on external routines from BLAS (Basic Linear Algebra Subprograms), LAPack (Linear Algebra package) and ARPack, which ...
Janecek, Andreas, Grotthoff, Stefan Schulze, Gansterer, Wilfried N.   +2 more
openaire   +2 more sources

Two-Dimensional Semi-Nonnegative Matrix Factorization for Clustering. [PDF]

Inf Sci (N Y), 2022
Peng C, Zhang Z, Chen C, Kang Z, Cheng Q.   +4 more
europepmc   +1 more source

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, D'Orléans-Juste P, Rousseau JA, Beaudoin JF, Lecomte R.   +4 more
europepmc   +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, Alemzadeh M, Majlesi M, Farahpour N, Mansoorizadeh M.   +4 more
europepmc   +1 more source

Semantic Non-Negative Matrix Factorization for Term Extraction

Big Data and Cognitive Computing
This study introduces an unsupervised term extraction approach that combines non-negative matrix factorization (NMF) with word embeddings. Inspired by a pioneering semantic NMF method that employs regularization to jointly optimize document–word and word–
Aliya Nugumanova, Almas Alzhanov, Aiganym Mansurova, Kamilla Rakhymbek, Yerzhan Baiburin   +4 more
doaj   +1 more source