{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,18]],"date-time":"2025-05-18T04:05:57Z","timestamp":1747541157785,"version":"3.40.5"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2025,4,22]],"date-time":"2025-04-22T00:00:00Z","timestamp":1745280000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,4,22]],"date-time":"2025-04-22T00:00:00Z","timestamp":1745280000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"name":"Science and Tech nology Research Program of Chongqing Municipal Education Commission","award":["KJZD-M202201204"],"award-info":[{"award-number":["KJZD-M202201204"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Complex Intell. Syst."],"published-print":{"date-parts":[[2025,6]]},"DOI":"10.1007\/s40747-025-01873-1","type":"journal-article","created":{"date-parts":[[2025,4,22]],"date-time":"2025-04-22T08:29:06Z","timestamp":1745310546000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Unsupervised feature selection based on generalized regression model with linear discriminant constraints"],"prefix":"10.1007","volume":"11","author":[{"given":"Xiangguang","family":"Dai","sequence":"first","affiliation":[]},{"given":"Mingyu","family":"Guan","sequence":"additional","affiliation":[]},{"given":"Facheng","family":"Dai","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0059-0149","authenticated-orcid":false,"given":"Wei","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Tingji","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Hangjun","family":"Che","sequence":"additional","affiliation":[]},{"given":"Xiangqin","family":"Dai","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,4,22]]},"reference":[{"key":"1873_CR1","doi-asserted-by":"publisher","first-page":"6705","DOI":"10.1007\/s40747-024-01512-1","volume":"10","author":"X Hu","year":"2024","unstructured":"Hu X, Lin S (2024) DFFNet: a lightweight approach for efficient feature-optimized fusion in steel strip surface defect detection. Complex Intell Syst 10:6705\u20136723","journal-title":"Complex Intell Syst"},{"key":"1873_CR2","doi-asserted-by":"publisher","first-page":"5139","DOI":"10.1007\/s40747-024-01439-7","volume":"10","author":"X Zhao","year":"2024","unstructured":"Zhao X, Li Q, Xing Z (2024) Sparse semi-supervised multi-label feature selection based on latent representation. Complex Intell Syst 10:5139\u20135151","journal-title":"Complex Intell Syst"},{"key":"1873_CR3","doi-asserted-by":"publisher","first-page":"2179","DOI":"10.1007\/s40747-021-00428-4","volume":"7","author":"A Ilesanmi","year":"2021","unstructured":"Ilesanmi A, Ilesanmi T (2021) Methods for image denoising using convolutional neural network: a review. Complex Intell Syst 7:2179\u20132198","journal-title":"Complex Intell Syst"},{"key":"1873_CR4","unstructured":"He X, Cai D, Niyogi P (2005) Laplacian score for feature selection. Adv Neural Inform Process Syst 18"},{"issue":"4","key":"1873_CR5","doi-asserted-by":"publisher","first-page":"1168","DOI":"10.1016\/j.dcan.2023.01.018","volume":"10","author":"Y Long","year":"2024","unstructured":"Long Y, Ding H, Murphy S (2024) Semi-supervised learning based hybrid beamforming under time-varying propagation environments. Digit Commun Netw 10(4):1168\u20131177","journal-title":"Digit Commun Netw"},{"issue":"2\u20133","key":"1873_CR6","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1016\/S0304-3800(02)00195-3","volume":"157","author":"A Lehmann","year":"2002","unstructured":"Lehmann A, Overton J, Leathwick J (2002) GRASP: generalized regression analysis and spatial prediction. Ecol Model 157(2\u20133):189\u2013207","journal-title":"Ecol Model"},{"key":"1873_CR7","doi-asserted-by":"crossref","unstructured":"Cai D, Zhang C, He X (2010) Unsupervised feature selection for multi-cluster data. In: Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 333\u2013342","DOI":"10.1145\/1835804.1835848"},{"issue":"1","key":"1873_CR8","first-page":"673","volume":"24","author":"Z Zhao","year":"2010","unstructured":"Zhao Z, Wang L, Liu H (2010) Efficient spectral feature selection with minimum redundancy. Proc AAAI Conf Artif Intell 24(1):673\u2013678","journal-title":"Proc AAAI Conf Artif Intell"},{"issue":"6","key":"1873_CR9","first-page":"793","volume":"44","author":"C Hou","year":"2013","unstructured":"Hou C, Nie F, Li X, Yi D, Wu Y (2013) Joint embedding learning and sparse regression: a framework for unsupervised feature selection. IEEE Trans Cybern 44(6):793\u2013804","journal-title":"IEEE Trans Cybern"},{"issue":"1","key":"1873_CR10","first-page":"1026","volume":"26","author":"Z Li","year":"2012","unstructured":"Li Z, Yang Y, Liu J, Zhou X, Lu H (2012) Unsupervised feature selection using nonnegative spectral analysis. Proc AAAI Conf Artif Intell 26(1):1026\u20131032","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"1873_CR11","first-page":"1","volume":"29","author":"S Wang","year":"2015","unstructured":"Wang S, Tang J, Liu H (2015) Embedded unsupervised feature selection. Proc AAAI Conf Artif Intell 29:1","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"1873_CR12","doi-asserted-by":"crossref","unstructured":"Wang J, Wu S, Zhang H, Yuan B, Dai C, Pal NR (2024) Universal approximation abilities of a modular differentiable neural network. IEEE Trans Neural Netw Learn Syst","DOI":"10.1109\/TNNLS.2024.3378697"},{"key":"1873_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.fss.2023.108627","volume":"469","author":"G Xue","year":"2023","unstructured":"Xue G, Wang J, Zhang B, Yuan B, Dai C (2023) Double groups of gates based takagi-sugeno-kang (dg-tsk) fuzzy system for simultaneous feature selection and rule extraction. Fuzzy Sets Syst 469:108627","journal-title":"Fuzzy Sets Syst"},{"issue":"2","key":"1873_CR14","doi-asserted-by":"publisher","first-page":"907","DOI":"10.1007\/s10462-019-09682-y","volume":"53","author":"S Solorio-Fernandez","year":"2020","unstructured":"Solorio-Fernandez S, Carrasco-Ochoa J, Martinez-Trinidad J (2020) A review of unsupervised feature selection methods[J]. Artif Intell Rev 53(2):907\u2013948","journal-title":"Artif Intell Rev"},{"key":"1873_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2020.103855","volume":"95","author":"MG Parsa","year":"2020","unstructured":"Parsa MG, Zare H, Ghatee M (2020) Unsupervised feature selection based on adaptive similarity learning and subspace clustering. Eng Appl Artif Intell 95:103855","journal-title":"Eng Appl Artif Intell"},{"key":"1873_CR16","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.patrec.2014.01.008","volume":"42","author":"M Langkvist","year":"2014","unstructured":"Langkvist M, Karlsson L, Loutfi A (2014) A review of unsupervised feature learning and deep learning for time-series modeling[J]. Pattern Recogn Lett 42:11\u201324","journal-title":"Pattern Recogn Lett"},{"key":"1873_CR17","doi-asserted-by":"crossref","unstructured":"Fan M, Chang X, Zhang X, 0008 DW, Du L (2017) Top-k supervise feature selection via admm for integer programming. In: IJCAI, pp. 1646\u20131653","DOI":"10.24963\/ijcai.2017\/228"},{"issue":"12","key":"1873_CR18","doi-asserted-by":"publisher","first-page":"5343","DOI":"10.1109\/TIP.2015.2479560","volume":"24","author":"Z Li","year":"2015","unstructured":"Li Z, Tang J (2015) Unsupervised feature selection via nonnegative spectral analysis and redundancy control. IEEE Trans Image Process 24(12):5343\u20135355","journal-title":"IEEE Trans Image Process"},{"key":"1873_CR19","unstructured":"Qian M, Zhai C (2013) Robust unsupervised feature selection. In: Twenty-third international joint conference on artificial intelligence. Citeseer"},{"key":"1873_CR20","doi-asserted-by":"publisher","first-page":"627","DOI":"10.1007\/s40747-023-01157-6","volume":"10","author":"P Wen","year":"2024","unstructured":"Wen P, Zhang Y, Wen G (2024) Learning features from irrelevant domains through deep neural network. Complex Intell Syst 10:627\u2013638","journal-title":"Complex Intell Syst"},{"key":"1873_CR21","doi-asserted-by":"publisher","first-page":"4557","DOI":"10.1007\/s40747-024-01395-2","volume":"10","author":"M Qi","year":"2024","unstructured":"Qi M, Chan S, Hong F (2024) Discriminative multi-scale adjacent feature for person reidentification. Complex Intell Syst 10:4557\u20134569","journal-title":"Complex Intell Syst"},{"key":"1873_CR22","doi-asserted-by":"publisher","first-page":"5489","DOI":"10.1007\/s40747-022-00774-x","volume":"8","author":"A Aguilera","year":"2022","unstructured":"Aguilera A, Pezoa R, Rodr\u00edguez-Delherbe A (2022) A novel ensemble feature selection method for pixel-level segmentation of HER2 overexpression. Complex Intell Syst 8:5489\u20135510","journal-title":"Complex Intell Syst"},{"key":"1873_CR23","doi-asserted-by":"publisher","first-page":"836","DOI":"10.1016\/j.neucom.2014.07.051","volume":"149","author":"S Zhang","year":"2015","unstructured":"Zhang S, Hu Q, Xie Z, Mi J (2015) Kernel ridge regression for general noise model with its application. Neurocomputing 149:836-846","journal-title":"Neurocomputing"},{"issue":"5","key":"1873_CR24","doi-asserted-by":"publisher","first-page":"1587","DOI":"10.1109\/TNNLS.2018.2868847","volume":"30","author":"X Li","year":"2018","unstructured":"Li X, Zhang H, Zhang R, Liu Y, Nie F (2018) Generalized uncorrelated regression with adaptive graph for unsupervised feature selection. IEEE Trans Neural Netw Learn Syst 30(5):1587\u20131595","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"1873_CR25","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1016\/j.neunet.2018.05.020","volume":"105","author":"Q Ye","year":"2018","unstructured":"Ye Q, Fu L, Zhang Z, Zhao H, Naiem M (2018) Lp-and ls-norm distance based robust linear discriminant analysis. Neural Netw 105:393\u2013404","journal-title":"Neural Netw"},{"key":"1873_CR26","doi-asserted-by":"crossref","unstructured":"Izenman AJ (2013) Linear discriminant analysis. In: Modern multivariate statistical techniques: regression, classification, and manifold learning. Springer, pp. 237\u2013280","DOI":"10.1007\/978-0-387-78189-1_8"},{"issue":"354\u2013154","key":"1873_CR27","first-page":"362","volume":"154","author":"X Ye","year":"2020","unstructured":"Ye X, Zhang W, Sakurai T (2020) Adaptive unsupervised feature learning for gene signature identification in non-small-cell lung cancer. IEEE Access 154(354\u2013154):362","journal-title":"IEEE Access"},{"key":"1873_CR28","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107156","volume":"227","author":"Y Huang","year":"2021","unstructured":"Huang Y, Shen Z, Cai F, Li T, Lv F (2021) Adaptive graph-based generalized regression model for unsupervised feature selection. Knowl Based Syst 227:107156","journal-title":"Knowl Based Syst"},{"issue":"3","key":"1873_CR29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2601434","volume":"8","author":"J Huang","year":"2014","unstructured":"Huang J, Nie F, Huang H, Ding C (2014) Robust manifold nonnegative matrix factorization. ACM Trans Knowl Discov Data (TKDD) 8(3):1\u201321","journal-title":"ACM Trans Knowl Discov Data (TKDD)"},{"key":"1873_CR30","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11432-016-9021-9","volume":"60","author":"F Nie","year":"2017","unstructured":"Nie F, Zhang R, Li X (2017) A generalized power iteration method for solving quadratic problem on the stiefel manifold. Sci China Inform Sci 60:1\u201310","journal-title":"Sci China Inform Sci"},{"issue":"6","key":"1873_CR31","doi-asserted-by":"publisher","first-page":"5522","DOI":"10.1109\/TCYB.2020.3034462","volume":"52","author":"A Yuan","year":"2020","unstructured":"Yuan A, You M, He D, Li X (2020) Convex non-negative matrix factorization with adaptive graph for unsupervised feature selection. IEEE Trans Cybern 52(6):5522\u20135534","journal-title":"IEEE Trans Cybern"},{"key":"1873_CR32","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1016\/j.neucom.2019.07.020","volume":"366","author":"H Zhang","year":"2019","unstructured":"Zhang H, Zhang R, Nie F, Li X (2019) An efficient framework for unsupervised feature selection. Neurocomputing 366:194\u2013207","journal-title":"Neurocomputing"},{"issue":"2","key":"1873_CR33","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1002\/wics.18","volume":"1","author":"NJ Higham","year":"2009","unstructured":"Higham NJ (2009) Cholesky factorization. Wiley Interdiscip Rev Comput Stat 1(2):251\u2013254","journal-title":"Wiley Interdiscip Rev Comput Stat"},{"key":"1873_CR34","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.105462","volume":"193","author":"Y Liu","year":"2020","unstructured":"Liu Y, Ye D, Li W, Wang H, Gao Y (2020) Robust neighborhood embedding for unsupervised feature selection. Knowl Based Syst 193:105462","journal-title":"Knowl Based Syst"},{"key":"1873_CR35","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.07.027","volume":"182","author":"D Huang","year":"2019","unstructured":"Huang D, Cai X, Wang C-D (2019) Unsupervised feature selection with multi-subspace randomization and collaboration. Knowl Based Syst 182:104856","journal-title":"Knowl Based Syst"},{"key":"1873_CR36","unstructured":"Yang Y, Shen HT, Ma Z, Huang Z, Zhou X (2011) l2, 1-norm regularized discriminative feature selection for unsupervised learning. In: IJCAI international joint conference on artificial intelligence"},{"key":"1873_CR37","doi-asserted-by":"crossref","unstructured":"Shi L, Du L, Shen Y-D, (2014) Robust spectral learning for unsupervised feature selection. In: (2014) IEEE International conference on data mining. IEEE 977\u2013982","DOI":"10.1109\/ICDM.2014.58"},{"issue":"14","key":"1873_CR38","doi-asserted-by":"publisher","first-page":"9995","DOI":"10.1007\/s00521-022-07200-w","volume":"35","author":"K Chen","year":"2023","unstructured":"Chen K, Che H, Li X, Leung M-F (2023) Graph non-negative matrix factorization with alternative smoothed l 0 regularizations. Neural Comput Appl 35(14):9995\u201310009","journal-title":"Neural Comput Appl"}],"container-title":["Complex &amp; Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40747-025-01873-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s40747-025-01873-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40747-025-01873-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,17]],"date-time":"2025-05-17T11:22:34Z","timestamp":1747480954000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s40747-025-01873-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,22]]},"references-count":38,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2025,6]]}},"alternative-id":["1873"],"URL":"https:\/\/doi.org\/10.1007\/s40747-025-01873-1","relation":{},"ISSN":["2199-4536","2198-6053"],"issn-type":[{"type":"print","value":"2199-4536"},{"type":"electronic","value":"2198-6053"}],"subject":[],"published":{"date-parts":[[2025,4,22]]},"assertion":[{"value":"23 October 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 March 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 April 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"To the best of our knowledge, the named authors have no Conflict of interest, financial or otherwise.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"254"}}