{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T12:38:53Z","timestamp":1774010333220,"version":"3.50.1"},"reference-count":61,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100005329","name":"Guizhou Provincial Natural Science Foundation","doi-asserted-by":"publisher","award":["QKHJC-ZK[2024]YB528"],"award-info":[{"award-number":["QKHJC-ZK[2024]YB528"]}],"id":[{"id":"10.13039\/501100005329","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010828","name":"Department of Education of Guizhou Province","doi-asserted-by":"publisher","award":["QJJ [2023] 011"],"award-info":[{"award-number":["QJJ [2023] 011"]}],"id":[{"id":"10.13039\/501100010828","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["12061025"],"award-info":[{"award-number":["12061025"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["12161020"],"award-info":[{"award-number":["12161020"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018555","name":"Science and Technology Program of Guizhou Province","doi-asserted-by":"publisher","award":["KXJZ[2024]002"],"award-info":[{"award-number":["KXJZ[2024]002"]}],"id":[{"id":"10.13039\/501100018555","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018555","name":"Science and Technology Program of Guizhou Province","doi-asserted-by":"publisher","award":["CXTD[2025]024"],"award-info":[{"award-number":["CXTD[2025]024"]}],"id":[{"id":"10.13039\/501100018555","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neurocomputing"],"published-print":{"date-parts":[[2026,4]]},"DOI":"10.1016\/j.neucom.2026.132800","type":"journal-article","created":{"date-parts":[[2026,1,24]],"date-time":"2026-01-24T00:22:08Z","timestamp":1769214128000},"page":"132800","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Dual hypergraph regularized nonnegative matrix factorization with nonsmooth and orthogonality constraints for data clustering"],"prefix":"10.1016","volume":"672","author":[{"given":"Chunli","family":"Song","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Linzhang","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengbin","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.neucom.2026.132800_bib0005","doi-asserted-by":"crossref","first-page":"7407","DOI":"10.1109\/TIP.2025.3620667","article-title":"Bi-sparse unsupervised feature selection","volume":"34","author":"Xiu","year":"2025","journal-title":"IEEE Trans. Image Process."},{"issue":"7","key":"10.1016\/j.neucom.2026.132800_bib0010","doi-asserted-by":"crossref","first-page":"5336","DOI":"10.1109\/TPAMI.2025.3535743","article-title":"Autonomous clustering by fast find of mass and distance peaks","volume":"47","author":"Yang","year":"2025","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.neucom.2026.132800_bib0015","doi-asserted-by":"crossref","first-page":"2466","DOI":"10.1109\/TNNLS.2021.3106702","article-title":"Robust discriminant subspace clustering with adaptive local structure embedding","volume":"34","author":"Liu","year":"2023","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"10.1016\/j.neucom.2026.132800_bib0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2023.106235","article-title":"BGC: belief gravitational clustering approach and its application in the counter-deception of belief functions","volume":"123","author":"Cui","year":"2023","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.neucom.2026.132800_bib0025","series-title":"Advances in Neural Information Processing Systems","first-page":"1601","article-title":"Learning with hypergraphs: clustering, classification, and embedding","author":"Zhou","year":"2007"},{"issue":"7","key":"10.1016\/j.neucom.2026.132800_bib0030","doi-asserted-by":"crossref","first-page":"1299","DOI":"10.1109\/TPAMI.2011.217","article-title":"Constrained nonnegative matrix factorization for image representation","volume":"34","author":"Liu","year":"2012","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.neucom.2026.132800_bib0035","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2025.113771","article-title":"NDRIDC: NMF-based deep representation algorithm for incomplete data clustering","volume":"324","author":"Wang","year":"2025","journal-title":"Knowl. Based Syst."},{"key":"10.1016\/j.neucom.2026.132800_bib0040","first-page":"556","article-title":"Algorithms for non-negative matrix factorization","volume":"13","author":"Lee","year":"1999","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.neucom.2026.132800_bib0045","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2023.119517","article-title":"Robust latent nonnegative matrix factorization with automatic sparse reconstruction for unsupervised feature extraction","volume":"648","author":"Wan","year":"2023","journal-title":"Inf. Sci."},{"key":"10.1016\/j.neucom.2026.132800_bib0050","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2024.112597","article-title":"An autoencoder-like deep NMF representation learning algorithm for clustering","volume":"305","author":"Wang","year":"2024","journal-title":"Knowl. Based Syst."},{"issue":"5","key":"10.1016\/j.neucom.2026.132800_bib0055","doi-asserted-by":"crossref","DOI":"10.1093\/bib\/bbad253","article-title":"UNMF: a unified nonnegative matrix factorization for multi-dimensional omics data","volume":"24","author":"Abe","year":"2023","journal-title":"Brief. Bioinform."},{"key":"10.1016\/j.neucom.2026.132800_bib0060","doi-asserted-by":"crossref","DOI":"10.1145\/3670408","article-title":"DNSRF: deep network-based semi-nmf representation framework","volume":"15","author":"Wang","year":"2024","journal-title":"ACM Trans. Intell. Syst. Technol."},{"key":"10.1016\/j.neucom.2026.132800_bib0065","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2023.101884","article-title":"A multi-view clustering algorithm based on deep semi-nmf","volume":"99","author":"Wang","year":"2023","journal-title":"Inf. Fusion"},{"key":"10.1016\/j.neucom.2026.132800_bib0070","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1109\/TBDATA.2022.3163584","article-title":"A generalized deep learning algorithm based on NMF for multi-view clustering","volume":"9","author":"Wang","year":"2023","journal-title":"IEEE Trans. Big Data"},{"key":"10.1016\/j.neucom.2026.132800_bib0075","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2025.111679","article-title":"Auto-adjustable dual-information graph regularized NMF for multiview data clustering","volume":"166","author":"Li","year":"2025","journal-title":"Pattern Recognit."},{"issue":"12","key":"10.1016\/j.neucom.2026.132800_bib0080","article-title":"Nonnegative matrix factorization with wasserstein metric-based regularization for enhanced text embedding","volume":"19","author":"Li","year":"2024","journal-title":"PLoS ONE"},{"issue":"1","key":"10.1016\/j.neucom.2026.132800_bib0085","doi-asserted-by":"crossref","DOI":"10.1093\/bioinformatics\/btae758","article-title":"VARNMF: non-negative probabilistic factorization with source variation","volume":"41","author":"Fallik","year":"2025","journal-title":"Bioinformatics"},{"issue":"4","key":"10.1016\/j.neucom.2026.132800_bib0090","doi-asserted-by":"crossref","first-page":"988","DOI":"10.3934\/mbe.2025036","article-title":"An augmented GSNMF model for complete deconvolution of bulk rna-seq data","volume":"22","author":"Li","year":"2025","journal-title":"Math. Biosci. Eng."},{"key":"10.1016\/j.neucom.2026.132800_bib0095","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2023.110179","article-title":"Deep asymmetric nonnegative matrix factorization for graph clustering","volume":"148","author":"Hajiveiseh","year":"2024","journal-title":"Pattern Recognition"},{"key":"10.1016\/j.neucom.2026.132800_bib0100","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2025.111732","article-title":"Instance-wise distributionally robust nonnegative matrix factorization","volume":"169","author":"Barkhoda","year":"2026","journal-title":"Pattern Recognit."},{"issue":"8","key":"10.1016\/j.neucom.2026.132800_bib0105","first-page":"1548","article-title":"Graph regularized nonnegative matrix factorization for data representation","volume":"33","author":"Cai","year":"2010","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"2","key":"10.1016\/j.neucom.2026.132800_bib0110","doi-asserted-by":"crossref","first-page":"584","DOI":"10.1109\/JAS.2019.1911417","article-title":"Graph regularized LP smooth non-negative matrix factorization for data representation","volume":"6","author":"Leng","year":"2019","journal-title":"IEEE\/CAA J. Autom. Sin."},{"key":"10.1016\/j.neucom.2026.132800_bib0115","doi-asserted-by":"crossref","first-page":"2237","DOI":"10.1016\/j.patcog.2011.12.015","article-title":"Graph dual regularization non-negative matrix factorization for co-clustering","volume":"45","author":"Shang","year":"2012","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.neucom.2026.132800_bib0120","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2024.109629","article-title":"Graph regularized discriminative nonnegative matrix factorization","volume":"139","author":"Liu","year":"2025","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.neucom.2026.132800_bib0125","first-page":"3227","article-title":"Semi-supervised bi-orthogonal constraints dual-graph regularized NMF for subspace clustering","volume":"52","author":"SongTao","year":"2021","journal-title":"Applied Intell."},{"key":"10.1016\/j.neucom.2026.132800_bib0130","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.engappai.2017.11.008","article-title":"Dual-graph regularized non-negative matrix factorization with sparse and orthogonal constraints","volume":"69","author":"Meng","year":"2017","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.neucom.2026.132800_bib0135","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2014.01.043","article-title":"Image clustering by hyper-graph regularized non-negative matrix factorization","volume":"138","author":"Zeng","year":"2014","journal-title":"Neurocomputing"},{"issue":"13","key":"10.1016\/j.neucom.2026.132800_bib0140","doi-asserted-by":"crossref","DOI":"10.3390\/math11132821","article-title":"Hypergraph-regularized LP smooth nonnegative matrix factorization for data representation","volume":"11","author":"Xu","year":"2023","journal-title":"Mathematics"},{"key":"10.1016\/j.neucom.2026.132800_bib0145","series-title":"Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","first-page":"126","article-title":"Orthogonal nonnegative matrix t-factorizations for clustering","author":"Ding","year":"2006"},{"key":"10.1016\/j.neucom.2026.132800_bib0150","doi-asserted-by":"crossref","first-page":"108613","DOI":"10.1016\/j.neunet.2026.108613","article-title":"Robust orthogonal NMF with label propagation for image clustering","volume":"198","author":"Liu","year":"2026","journal-title":"Neural Netw."},{"key":"10.1016\/j.neucom.2026.132800_bib0155","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1016\/j.patrec.2025.08.012","article-title":"Orthogonal nonnegative matrix factorization with the kullback-leibler divergence","volume":"197","author":"Nkurunziza","year":"2025","journal-title":"Pattern Recognit. Lett."},{"key":"10.1016\/j.neucom.2026.132800_bib0160","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2025.113508","article-title":"Multi-view nonnegative matrix factorization via orthogonal and adversarial graph regularization","volume":"182","author":"Li","year":"2025","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.neucom.2026.132800_bib0165","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2025.110715","article-title":"Orthogonal diversity nonnegative matrix factorization for multi-view clustering","volume":"152","author":"Zhang","year":"2025","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.neucom.2026.132800_bib0170","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2025.112462","article-title":"Hypergraph induced semi-supervised orthogonal nonnegative matrix factorization with label and constraint propagation","volume":"162","author":"Guo","year":"2025","journal-title":"Eng. Appl. Artif. Intell."},{"issue":"3","key":"10.1016\/j.neucom.2026.132800_bib0175","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1109\/TPAMI.2006.60","article-title":"Nonsmooth nonnegative matrix factorization (NSNMF)","volume":"28","author":"Pascual-Montano","year":"2006","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.neucom.2026.132800_bib0180","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1016\/j.jprocont.2020.06.011","article-title":"Laplacian regularized robust principal component analysis for process monitoring","volume":"92","author":"Xiu","year":"2020","journal-title":"J. Process Control"},{"key":"10.1016\/j.neucom.2026.132800_bib0185","doi-asserted-by":"crossref","first-page":"2815","DOI":"10.1109\/TGRS.2012.2213825","article-title":"ManiFold regularized sparse NMF for hyperspectral unmixing","volume":"51","author":"Lu","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"3","key":"10.1016\/j.neucom.2026.132800_bib0190","doi-asserted-by":"crossref","DOI":"10.1109\/TPAMI.2022.3182052","article-title":"HGNN: general hypergraph neural networks","volume":"45","author":"Gao","year":"2023","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"4","key":"10.1016\/j.neucom.2026.132800_bib0195","doi-asserted-by":"crossref","DOI":"10.1109\/TPAMI.2023.3332768","article-title":"Hypergraph-based multi-modal representation for open-set 3D object retrieval","volume":"46","author":"Feng","year":"2024","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"10","key":"10.1016\/j.neucom.2026.132800_bib0200","doi-asserted-by":"crossref","DOI":"10.1109\/TPAMI.2025.3585179","article-title":"Kernelized hypergraph neural networks","volume":"47","author":"Feng","year":"2025","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"11","key":"10.1016\/j.neucom.2026.132800_bib0205","doi-asserted-by":"crossref","DOI":"10.1109\/TPAMI.2025.3593880","article-title":"A unified random walk, its induced laplacians and spectral convolutions for deep hypergraph learning","volume":"47","author":"Zhang","year":"2025","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.neucom.2026.132800_bib0210","first-page":"361","article-title":"Data-driven process monitoring using structured joint sparse canonical correlation analysis","volume":"68","author":"Xiu","year":"2021","journal-title":"IEEE Trans. Circuits Syst. II Express Briefs"},{"issue":"5","key":"10.1016\/j.neucom.2026.132800_bib0215","article-title":"Hypergraph learning: methods and practices","volume":"44","author":"Gao","year":"2022","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"11","key":"10.1016\/j.neucom.2026.132800_bib0220","doi-asserted-by":"crossref","first-page":"2837","DOI":"10.1109\/TMM.2019.2909860","article-title":"Adaptive hypergraph embedded semi-supervised multi-label image annotation","volume":"21","author":"Tang","year":"2019","journal-title":"IEEE Trans. Multimedia"},{"key":"10.1016\/j.neucom.2026.132800_bib0225","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1016\/j.neucom.2022.09.102","article-title":"Motifs-based recommender system via hypergraph convolution and contrastive learning","volume":"512","author":"Sun","year":"2022","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neucom.2026.132800_bib0230","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2024.128539","article-title":"Purity skeleton dynamic hypergraph neural network","volume":"610","author":"Wang","year":"2024","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neucom.2026.132800_bib0235","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2020.106185","article-title":"A new locally adaptive k-nearest neighbor algorithm based on discrimination class","volume":"204","author":"Pan","year":"2020","journal-title":"Knowl. Based Syst."},{"key":"10.1016\/j.neucom.2026.132800_bib0240","article-title":"Hypergraph-enhanced multi-interest learning for multi-behavior sequential recommendation","volume":"255","author":"Li","year":"2024","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.neucom.2026.132800_bib0245","series-title":"International Conference on Information and Knowledge Management","first-page":"2352","article-title":"Semi-supervised hypergraph node classification on hypergraph line expansion","author":"Yang","year":"2022"},{"key":"10.1016\/j.neucom.2026.132800_bib0250","doi-asserted-by":"crossref","DOI":"10.1109\/ACCESS.2016.2605704","article-title":"A fast non-smooth nonnegative matrix factorization for learning sparse representation","volume":"4","author":"Yang","year":"2016","journal-title":"IEEE Access"},{"key":"10.1016\/j.neucom.2026.132800_bib0255","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1016\/j.neucom.2018.05.023","article-title":"Soft orthogonal non-negative matrix factorization with sparse representation: static and dynamic","volume":"310","author":"Chen","year":"2018","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neucom.2026.132800_bib0260","article-title":"Robust orthogonal nonnegative matrix tri-factorization for data representation","volume":"201","author":"Peng","year":"2020","journal-title":"Knowl. Based Syst."},{"issue":"1","key":"10.1016\/j.neucom.2026.132800_bib0265","doi-asserted-by":"crossref","DOI":"10.26599\/BDMA.2024.9020055","article-title":"Robust non-negative matrix tri-factorization with dual hyper-graph regularization","volume":"8","author":"Yu","year":"2025","journal-title":"Big Data Min. Anal."},{"key":"10.1016\/j.neucom.2026.132800_bib0270","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2021.107101","article-title":"Tri-regularized nonnegative matrix tri-factorization for co-clustering","volume":"226","author":"Deng","year":"2021","journal-title":"Knowl. Based Syst."},{"issue":"6","key":"10.1016\/j.neucom.2026.132800_bib0275","article-title":"A novel regularized asymmetric non-negative matrix factorization for text clustering","volume":"58","author":"Aghdam","year":"2021","journal-title":"Inf. Process. Manag."},{"issue":"6","key":"10.1016\/j.neucom.2026.132800_bib0280","doi-asserted-by":"crossref","DOI":"10.1109\/TCBB.2020.2975173","article-title":"Dual hyper-graph regularized supervised NMF for selecting differentially expressed genes and tumor classification","volume":"18","author":"Wang","year":"2021","journal-title":"IEEE\/ACM Trans. Comput. Biol. Bioinform."},{"key":"10.1016\/j.neucom.2026.132800_bib0285","series-title":"Bioinformatics and Biomedicine","first-page":"578","article-title":"Hypergraph regularized NMF by l2, 1-norm for clustering and com-abnormal expression genes selection","author":"Yu","year":"2018"},{"issue":"8","key":"10.1016\/j.neucom.2026.132800_bib0290","doi-asserted-by":"crossref","DOI":"10.3390\/math11081894","article-title":"Graph-regularized, sparsity-constrained non-negative matrix factorization with earth mover\u2019s distance metric","volume":"11","author":"Li","year":"2023","journal-title":"Mathematics"},{"key":"10.1016\/j.neucom.2026.132800_bib0295","series-title":"European Signal Processing Conference","first-page":"1466","article-title":"Deep orthogonal matrix factorization as a hierarchical clustering technique","author":"De Handschutter","year":"2021"},{"key":"10.1016\/j.neucom.2026.132800_bib0300","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2023.110465","article-title":"Robust dual-graph discriminative NMF for data classification","volume":"268","author":"Lu","year":"2023","journal-title":"Knowl. Based Syst."},{"key":"10.1016\/j.neucom.2026.132800_bib0305","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2022.109102","article-title":"A consistent and flexible framework for deep matrix factorizations","volume":"134","author":"De Handschutter","year":"2023","journal-title":"Pattern Recognit."}],"container-title":["Neurocomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231226001979?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231226001979?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T10:36:38Z","timestamp":1774002998000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0925231226001979"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4]]},"references-count":61,"alternative-id":["S0925231226001979"],"URL":"https:\/\/doi.org\/10.1016\/j.neucom.2026.132800","relation":{},"ISSN":["0925-2312"],"issn-type":[{"value":"0925-2312","type":"print"}],"subject":[],"published":{"date-parts":[[2026,4]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Dual hypergraph regularized nonnegative matrix factorization with nonsmooth and orthogonality constraints for data clustering","name":"articletitle","label":"Article Title"},{"value":"Neurocomputing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neucom.2026.132800","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"132800"}}